Master of Science in Business Analytics

Aarushee graduated from UC Irvine in June 2022 with a Bachelor of Science in Mechanical Engineering and a Minor in Business. Currently, she is a Master of Science in Business Analytics student at UCLA Anderson School of Management, with an Anderson Merit Fellowship. 

During her fourth-year business classes, she came across courses like New Product Development and Management and Database Management. These exposed her to concepts such as A/B Testing, Hierarchical Clustering, and, Hypothesis Testing. Additionally, she worked on data analytics projects using Python that improved her knowledge of the role statistics and quantitative analysis play in financial case studies. With all these exposures, she developed a strong interest in problem-solving and realized how she can use her background as an engineer and move forward in her journey to synergize the worlds of Technology and Business! 

She’s currently taking a course on Machine Learning for Decision Making and is looking forward to learning how to use machine-learning algorithms to learn from data, identify patterns and make decisions with minimal human intervention! 

Aarushee is also an innovator and received her patent from the Indian Government at 13 for a prototype in tetra-pak. The prototype can disburse clean water for administering Oral Rehydration Salts (ORS) for kids suffering from diarrhea, especially in countries where clean drinking water is scarce and a must for ORS administration. The inspiration behind her design comes from research she conducted for her school project, catching her attention that Diarrheal disease is the second leading cause of death amongst children under the age of 5. 

Abhi Akkaraju is currently pursuing a Master of Science in Business Analytics at the UCLA Anderson School of Business. He was born and raised in the San Francisco Bay Area and then attended the Ohio State University for a bachelor's degree in Management Information Systems with a minor in Business Analytics. This gave him a diversified background with analytics, business acumen, and technical skills. 

After graduating from OSU in 2019, Abhi gained 3 years of experience working as a Data Scientist at Cisco Systems in the field of Sales AI. This helped him develop cross functional skills within the areas of data science, product management, and sales analytics while building technical knowledge using tools such as Python, SQL, Tableau, Google Cloud Platform, and more.

Abhi’s goal through the MSBA program is to gain domain expertise across different industries that utilize analytics including healthcare, entertainment, and sports. He aims to master the skill of translating the output of analytics into actionable and successful business plans. Abhi is pursuing Product Management roles within analytics. In his free time, Abhi loves playing basketball, tennis, and volleyball and closely follows these sports with an analytical perspective. He also enjoys cooking, video games, and traveling.

Abinash is commonly known as Panda amongst everyone as his last name is ‘Panda’. He graduated from VIT, Vellore with a Bachelor’s in Electronics and Communication Engineering in 2020. During his time at VIT, he experienced an academically enriching journey, under the tutelage of revered faculty members and industry stalwarts. Further, he participated in several events and activities organized by the clubs on campus, which helped him gain critical interpersonal skills. He also interned at Siemens, where he worked on Home Automation using cloud services and built a Geographical model of their equipment located worldwide using Excel and Macros. Besides his interest in technology, he also took time for activities such as writing blogs and organizing voluntary boot camps, and educational drives in rural areas that helped him process his emotions better and positively impact society. 

He strived to gain professional experiences shaping his understanding of technologies in a real-world environment. During his internship and subsequent employment at Deloitte USI, he worked on Financial Data Analysis, which included Data Wrangling and Visualization. It was a positive experience working on real-time projects with significant ramifications, helping him deliver a substantial impact. He strived to gain the most nuanced knowledge, leading him to earn specialized certification in technologies such as Tableau. He was an active member of the CSR community of Deloitte and has volunteered for several activities during Impact Day, every year on thanksgiving which involves interacting with non-privileged children. 

Panda is very excited to be here at UCLA Anderson, sharing the cohort among the brightest minds worldwide. His experience so far has been joyous, and his presence has been greeted with alacrity throughout the campus. He is looking forward to opportunities to learn and implement his learnings soon in real-world scenarios.

Khue aspires to leverage analytics to lead digital transformation, optimize operations and deliver affordable and high-quality products/services to customers, particularly in healthcare, consulting, technology, supply chain industries and entrepreneurship. Master of Science in Business Analytics at UCLA Anderson School of Management has empowered her with technical skills, industry knowledge and valuable connections with professionals who inspire her to grow professionally and personally.

Khue has over three years of experience spearheading the Business Analytics department at Hakko Products, introducing new analytics approaches to business functions, mentoring talents and providing data-driven strategies to the C-suite. With her leadership, her team successfully revamped the data management system, created and educated users with data visualization tools, automated business processes and originated data models to answer business questions. Apart from business analytics, she also collaborated with internal and external stakeholders to develop an integrated CRM – ERP system from inception to implementation, launched a new company in Vietnam and led 15 salespeople to increase sales of chemical products in the ASEAN market. 

Prior to her career in analytics, Khue was a biomedical engineer intern at BD and NephTech. Most significant projects include developing a prototype of a safety component for the Odon device (an assisted vaginal delivery equipment) at BD and originating sensor array configuration to detect narrow blood vessels in patients with kidney disease at the healthcare start-up NephTech. Working in a start-up environment allowed her to further explore the business aspect of the healthcare industry and thus played a pivotal role in her career development and pursuit of entrepreneurship.

Apart from professional and academic commitment, Khue enjoys painting, playing musical instruments and watching documentaries. She is a travel enthusiast who loves to meet new people and experience new cultures from all continents around the world.

Ashish graduated from the Indian Institute of Technology Madras ( IIT Madras) with a Master's and Bachelor's degree in Naval Architecture and Ocean Engineering and a minor in Systems Engineering in July 2022. He was among the few selected exchange students at Instituto Superior Técnico in Lisbon, Portugal.

Ashish is a philomath with a genuine love for learning. He held several leadership positions in various student clubs throughout his studies at IIT Madras. His inquisitive nature helped him expand his skillset in Python, SQL, and Machine Learning techniques through internships and projects. He was also the Sri Poovai TR Srinivasan & S Alamelu Awardee and the Samsung- IITM Pravartak Undergraduate Fellowship recipient for his academic excellence.

These diverse experiences equipped Ashish to tackle real-world analytical challenges. The task of adding a business perspective to analytical problems by giving them a real-world touch drove him to business analytics. So here he is, pursuing his Master's in Business Analytics as an Anderson merit fellowship recipient. He is delighted to use his new skills from the MSBA program to broaden his business acumen and analyze industry problems with the appropriate tools to translate data into actionable insights.

Besides working on fascinating projects and acquiring skills, Ashish has always had a great interest in media and entertainment. This passion led him to gain knowledge in the media and entertainment sector and made him one of the 17 representatives of IIT Madras in the Filmmaking/Photography competitions at Inter IIT Cultural Meet. He is also a paparazzo and a successful YouTube content creator with over 11.7K+ subscribers, engaging 2.6+ Million views. In addition, he enjoys traveling and has visited 12 European nations, where he fostered multiculturalism and enhanced his ability to adapt to different circumstances.

Bingcheng just graduated from UC Santa Barbara, as Financial mathematics and statistics major.  Currently, he is a Master of Science in Business Analytics student at UCLA Anderson School of Management, with an Anderson Merit Fellowship. He is able to combine data analysis knowledge with his financial skills to glean more real-life insights from data. He worked as an intern for Shanghai Securities company and constructed a product framework by analyzing aggregated client risk tolerance and product preferences, making investment recommendations that increased client revenue by 6% based on recommended products. 

He also has experience in several data analysis projects or competitions, such as Amazon Hackson, Humana Healthcare Analytics, and COVID-19 monte-Carlo project. He solves problems related to demand forecasting, natural language processing, marketing analytics, and operational analytics using tools such as Python, R, and SQL.

He has a great passion for working for non-profit organizations because he feels it can make a lot of difference for the many people in need in this society. He used to work for one of the Chinese national Poverty-Relief programs and cooperate with the Chinese Academy of Sciences. He established a linear regression model in R language, using the monthly sale and yield respectively as x and y values to explore their interrelationship. The gap between the two linear lines of post-and pro-marketing indicated that my marketing strategy could bring lasting sales growth.

He looks forward to using the data analysis and machine learning knowledge he learned in MSBA in his future job.

Bofang Yao received his dual Bachelor’s degree in Economics and International Business from the University of California San Diego in 2022 with a specialization in finance. During his undergraduate education, Bofang worked as an intern for a Merger and Acquisition firm and also directed UCSD’s $1M endowment fund as the portfolio manager. Based on these experiences, Bofang discovered his passion for applying quantitative analytical skills in a business context and noticed how rapidly industries were chaging through the influence of data analytics.

After realizing how essential it is for businesses to effectively make decisions based on data, Bofang decided to join the UCLA Master of Science in Business Analytics program. In the program, Bofang learned important technical skills in SQL and machine learning. The program also helped him to better combine analytics skills with communication. In addition to the course curriculum, Bofang has greatly benefited from his extraordinary peers who constantly encourage and inspire him to strive.

When Bofang is not busy with coding, he enjoys video games, music, and good books.

Calin graduated from Bocconi University in Milan, Italy with a Bachelor’s of Science in International Economics and Management. During this time, he understood that the analytical side of the business sphere is the area he is passionate about, as he excelled in courses such as Statistics, Microeconomics, and Data Analytics. As such, he decided to pursue his Master’s of Science in Business Analytics at UCLA Anderson and continue his development of these skills. 

Another instance that solidified a Business Analytics career as the right one for him was his time as a Junior Project Manager at one of the biggest pharmacy chains in his home country. Although fresh from his undergraduate studies, he was able to bridge the gap between the business-oriented and the technology-oriented members of his team by understanding the way  data and insights should be presented and visualized for each. Furthermore, he took the lead on multiple data and analytically-inclined projects, such as pricing the entire offering of the company for their new e-commerce platform.

Calin has also worked for companies such as Coface, PriceWaterhouseCoopers, and Raiffeisen Bank which helped with building his holistic view of the business world. These diverse experiences and his enthusiasm towards numbers, data, but also collaboration, make him a technical and capable team-player. Speaking of teams, Calin is also a big fan of sports, his favorite being Formula 1.

Celine is an enthusiastic, curious data scientist who appreciates the role of data in decision making and strives to continuously provide business acumen with strong technical skills. She graduated from Emory University with a double major in Quantitative Sciences with Psychology concentration and Film and Media Studies. During her time at Emory, Celine learned to master various data analysis and visualization tools, including Python, R, MySQL, and Tableau, and honed her skill sets through internships at KPMG and Comcast. She has found a genuine interest in the media and entertainment industry and is eager to contribute as the industry has continued to refine its data transformation in recent years.

Outside of schools, Celine has been actively involved in entertainment analysis for more than two years. In 2020, She co-founded the media channel "Intermix" specializing in producing K-pop dance remakes, which achieved over 600,000 views and received over 30,000 likes in one year. In 2021, She joined the podcast "Learn or Be Learned" as a part-time digital media analyst and successfully raised the channel to the top 5% globally in nine months. As a data practitioner, she has always been consciously exploring a more effective and authentic way to connect data to both explicit and inexplicit customer needs.

While working as the Customer Operations Intern at Comcast, Celine learned to transform raw datasets on Teradata into presentable business reports on Tableau using MySQL and led the standardization of data collection procedures for the CX team. Her work has significantly helped the team to not only extract cloud data more efficiently, but also understand customer needs and call center agent performance more proactively.

Moving forward, Celine is excited to be a part of the MSBA Class of 2023. She looks forward to developing expertise in utilizing real-world datasets to generate successful business strategies that meet and exceed customer needs and expectations.

Adia Yao is a passionate Data Scientist and an MS Business Analytics candidate at UCLA Anderson. She finished her undergraduate study at New York University with concentrations in Data Science and Fashion Business. Upon graduation, she worked as a Data Analyst at PwC in the Bay Area. She utilized her solid analytical skills (Python, SQL, Tableau, etc.) to build sophisticated recalculation models and ensured data pipeline efficiency and accuracy. Many of her clients are big-name tech firms in Silicon Valley. By working in close collaboration to solve business problems, she expedited project hours by 25% and gained high recognition from the team.

Being highly motivated, she continues to sharpen her programming skills and product sense through the MSBA program at UCLA. She found the statistics class to be very helpful and with its solid foundation, she now has smoothly transitioned into the Machine Learning class, learning about the theories and applications behind various models and packages.

Despite her passion for analytics, she enjoys trying and learning new things. Having a diverse and multidisciplinary background, she has a unique understanding of the retail space, social media, as well as technology industry.

Eric is a student and Anderson Merit Fellow in the Master of Science in Business Analytics (MSBA) program at UCLA Anderson School of Management. He has particular interest and experience in the industry areas of sports, entertainment, technology/software, and social good.

Born and raised in the San Francisco Bay Area, Eric obtained his bachelor’s degree in statistics from Cal Poly San Luis Obispo. In addition, prior to the MSBA program, Eric worked in sports in various roles: at the college NCAA Division 1 level for basketball as a student manager and analytics staffer for both Cal Poly men’s/women’s basketball and UCLA women’s basketball; at Sports Reference (Basketball-Reference, FBref), a prominent sports data provider; and at the Atlanta Hawks of the NBA. He has also worked, volunteered, and performed research in cybersecurity, mental health and homeless outreach services, and data ethics.

At UCLA MSBA, Eric is enjoying classes in data management and machine learning, with goals and aspirations of applying a blend of technical skills from the classroom and soft skills such as his leadership and teamwork abilities towards future roles in analytics and data science both in the summer of 2023 and upon graduation. In his spare time when not watching sports, Eric enjoys sunny days at the beach, exploring and cooking new dishes, and playing board games.

Erika graduated from Carleton College with a B.A in Statistics in June 2021. Her undergraduate coursework gave her a solid foundation in Statistics and Data Science, and she was able to put this knowledge into practice by conducting a research project on network analysis of Twitter users during her senior year. In addition to Statistics, her interest in consumer behaviors/markets drew her to pursue a variety of classes in Economics such as Behavioral Economics and Game Theory. Outside of her coursework, Erika worked as an R tutor and a statistics course grader for the Department of Statistics and participated in many extracurricular activities. During her undergraduate studies, Erika completed two internships, both of which were related to digital advertising, namely as a YouTube Ads Marketing Intern at Google and a Web Marketing Intern at a startup in Tokyo, Japan.

Before joining MSBA, Erika worked at Rakuten for 9 months as a part-time Digital Ad Operations Assistant and as a full-time Customer Support Analyst Trainee, where she was responsible for digital ad management as well as call center operations. 

Currently, Erika is a first-year student in the MS in Business Analytics program at UCLA Anderson School of Management. The program has not only helped her advance her programming skills to the next level, but also honed her ability to translate technical insights into easy to understand stories and actionable insights

Erika is currently looking for data analytics internships in Tech/Entertainment/Retail/CPG industries for the summer of 2023. 

Esther is an enthusiastic data analyst with a solid analytical mindset and academic background.  She graduated from Sogang University in Seoul, Korea with a double bachelor’s degree in Economics and Data Analytics. She developed her technical and professional skills by participating in numerous extracurricular activities. She collaborated with the Department of Economics as a research assistant where she applied her coding skills (Python, SQL) and computational methodologies (NLP, KMeans Clustering, PCA, Regression Modeling) in real-world studies. She has also worked as a teaching assistant for an advanced Python class, where she led weekly tutoring sessions and helped students successfully complete analytics projects with hygienic and efficient code.  

During her years as an undergraduate, Esther gained a wide range of industry knowledge and business insights outside the classroom as well. She worked as an intern at the New York branch of Statista, a company offering market and consumer data through an online platform. She was responsible for promoting and recommending Statista's data to the Canadian offices of global companies. The experience taught her that data plays a key role in today's businesses. Prior to joining UCLA MSBA, she joined Korea Credit Data (KCD) as a data analyst Intern, where she constructed a pipeline to analyze front-end mobile app data and built a team data dashboard based on KPIs by tracking usage rates of 500K+ workplace users in Korea. She provided comprehensive data-driven solutions to mobile app-based financial software services, which resulted in a 300% increase in PV (Page Views) within a month after she joined the team.  

Learning about new kinds of business structures and how their purposes are built to the point of seeking profit is of particular interest to her. She has a strong desire to leverage this curiosity with her strong technical skills and business acumen to make an impact throughout her career. 

Apart from her academics and professional experience, Esther was a leader and conductor of an amateur symphony orchestra containing 50 players. She has been playing violin and piano for 20 years, and she also enjoys playing golf in her free time.

Eumin is a highly motivated data analyst with strong analytical and problem-solving skills. She is interested in making a business impact by sharing social values as well as helping companies solve strategic problems. In order to contribute to making a better world, she wishes to build products that can help people create their own meaningful and fulfilling experiences. 

Eumin graduated from Yonsei University in Seoul, Korea, with a bachelor’s degree in Economics. Her undergraduate coursework helped her gain knowledge in diverse fields and build a solid technical foundation. She took part in lots of project-based experiences where she applied various data science methodologies with Python, R, and SQL to derive actionable insights from large datasets. Outside of the class, she participated in the Entrepreneur Startup Club and an overseas exchange program, which helped broaden her perspectives.  

Prior to joining UCLA MSBA program, Eumin gained some data analytics experience during her professional journey at Ernst & Young (EY). As a technology consultant, she predicted market trends by analyzing sales data and established online sales business process. She acquired data collection, integration, and manipulation skills through hands-on experiences in business settings. Apart from technical skills, she also leveraged her communication skills, which are needed to clearly share data-driven outcomes and collaborate with other teams.  

Now in the MSBA program, Eumin is extremely excited to fully develop her analytical skills and business acumen to apply to real-world scenarios. With her enthusiasm and passion for data analytics, she is looking forward to applying the knowledge she has gained in the program to help organizations solve strategic problems and boost their businesses.

Grace earned her Bachelor of Commerce degree from the University of British Columbia with a major in Finance and concentration in Business Analytics. In her business analytics classes, she used tools like R, SQL, and Python to analyze real-world data in a business context and discovered how analytics are transforming virtually any industry. She learned how analytics could help businesses make more informed decisions and advise business strategies, which fascinated her and sparked her interest in the intersection of business and analytics. This led her to apply to the UCLA Master of Science in Business Analytics program to continue honing her technical skills in data analytics from one of the best business analytics programs in the world and gain access to the wide variety of resources available in the program.

Since starting her MSBA program at UCLA Anderson, Grace has continued to be inspired by the diligence and inquisitiveness of her peers as well as the vast amount of opportunities available to students in the program. She is excited to apply what she has learned in the program to her future roles upon completion of the program and help answer tough business questions with the use of data.

Felix graduated from the University of British Columbia in 2022 with a Bachelor’s degree in Economics. During his undergraduate studies, he actively engaged in courses relating to intermediate macro and microeconomics analysis, international trade and finance, along with quantitative economic modeling with data science applications. His knowledge in the field of economics aligned with his interest in computer science, wherein he later developed programming skills in Python, R, and SQL.

Prior to joining UCLA Anderson, Felix spent several years as an entrepreneur where he took part in co-founding a Bubble Tea shop in Vancouver, acting as a business consultant where he made his first data analysis attempt by applying the K-nearest neighbors algorithm to forecast customer preferences. He later invested in Look-4-Tutor, a company that specializes in providing students with study programs that are suitable to their educational needs. Felix then took an internship at LivingSpace Interiors as E-commerce & marketing Analyst where he self-defined the customer wealth matrix.  It is through this experience that he developed predictive models and discovered insights into the company’s data. 

Felix also aided Hong Kong Polytechnic University in designing research to test the goal-gradient effects on the demand side of the sharing economy. He went on to create an experiment in Difference in Difference regression to car ride-sharing application data, which helped resolve the limitation of sample size and drivers’ personality variance. Joining the Master of Science of Business Analytics (MSBA) program at UCLA Anderson will allow him to realize his passion for analytics and data-driven business process and development. 

Outside of his professional and academic career, on his off times, Felix enjoys making hip-hop songs, and he has signed a publishing company that helps deliver his music on multiple platforms.

Hannah is a highly motivated data analyst who has a sound foundation in finance and focuses on resolving business problems from data perspectives. Hannah graduated from the University of Southern California with a bachelor’s degree in Accounting. During her time as an undergraduate student, Hannah was a business student leader in multiple student organizations. After graduating, she pursued a career in the accounting industry at Ernst & Young and found her passion in data while implementing traditional processes with analytical methods. 

Hannah has strong interests in technology, finance, and entertainment industries. She also has experience in Python, SQL, and R. Both of her technical skills and interpersonal skills have shaped her into a good data storyteller. The MSBA program at UCLA Anderson has further enhanced her skill sets and allowed her to apply them to real life situations. By participating in the Amazon Datathon, she not only gained more hands-on experience but also gained new insights from the industry. 

As she continues to progress through the MSBA program, she will focus on becoming a successful business data analyst by learning from her professors, cohort peers, and industry professionals. She is beyond excited to start a journey in leveraging her knowledge and skills to help companies make business decisions with data analytics.

Sherman graduated from the University of Hong Kong (HKU) with a Bachelor’s degree in Accounting and Finance. After graduation, Sherman joined Hang Seng Bank (a subsidiary bank of HSBC Group) as a Management Trainee in the Wealth and Personal Banking field. He held a variety of roles during traineeship including mortgage market analysis, structural investment product development, and fintech projects management. He was then promoted to Product Manager supervising innovation strategy and product development in Hang Seng’s retail distribution division. 

Having worked in Hang Seng for 4 years, Sherman has led a team of 100+ Digital Advocates to promote various digital banking products across the Bank’s branch network, achieving +60% annual growth in the product signup. Sherman was also a product manager of a new “mobile-in-branch” hybrid model in the Bank’s digital account opening service, which saved $0.75M annually of manual KYC operational overhead. 

During his time in Hang Seng, he developed increasing interests towards data analytics and product management. Sherman is excited to embark on an academic advancement to expand his knowledge integrating quantitative analysis in real-world business contexts; thus, he chose to join the MSBA program at UCLA Anderson School of Management.

At UCLA MSBA, he is particularly interested in prescriptive models, product analytics, and machine learning. Leveraging his business background and product management experience, Sherman aspires to become a well-rounded innovation strategist with advanced technical skillsets on quantitative analytics acquired during the MSBA program. He is looking forward to gaining more industrial insights through his academic journey at Anderson, especially in the Fintech, SaaS, and healthcare fields.

Apart from academics and workplaces, Sherman is an active member in the Hongkonger’s community in LA dedicated to promoting Cantonese education in the expat group. He has also participated in the academic research of Hongkonger’s identity and Cantonese-English Bilingual studies in UC Irvine’s BMB laboratory. 

Hyunduk (Doug) is an aspiring Data Scientist with four years of experience in product management/ data analytics.

It's D-day - Doug and his team release a new feature for their search engine, the wiki search. As he sees the daily average user of the wikis surpass the target number, he feels the adrenaline rushing through his veins. These priceless moments taught him the excitement of discovering customers' demands through data. 

Before joining MSBA, Doug had four years of product management/data analytics experience in Samsung Electronics, where he designed and led the development of various products, such as the integrated search engine, cloud platform, and the IT service management platform. Leveraging his solid technical skills in Python, SQL, and IT infrastructure, he derived insights from a large stream of data ranging from customer logs to documents and geographical data. As a result, his products now serve 20K+ customers, leading to millions of dollars of cost savings each year. 

After graduating from Korea University with a Bachelor of Science in industrial engineering, Doug has a particular interest and experience in the technology/software and retail industry. With the product sense acquired as a product manager and the analytical capabilities he hones throughout MSBA, he's looking for an opportunity to impact not 20K but 20M customers in the future.

Ipek graduated from the University of California, San Diego with a B.S. in Cognitive Science. During her time there, Ipek discovered that machine learning and neural computation components of the field of cognitive science piqued her interest the most. Adapting her interdisciplinary knowledge, Ipek engaged in academic research to understand the connections between the mind, the world, and languages. Outside of her studies, Ipek actively took part in student organizations, and she held leadership and volunteer positions where she aimed to develop social impact awareness in healthcare, education, and technology by using her analytics, collaboration, and organizational skills.

During her undergraduate studies, Ipek gained extensive experience in both academics and internships. She has worked on various projects focused on data-driven solutions to increase customer experience and social responsibility to business problems gaining hands-on experience not only in data science and machine learning, but marketing, product management, user experience, and leadership. In her role as a Marketing Analytics Intern at Salesforce, Ipek was convinced that business analytics was significant in helping companies build better products and address consumer needs consciously where she positively drove engagement and sales by remodeling complicated data, evaluating consumer shopping behavior, and developing business acumen.

As a part of the MSBA Class of 2023, Ipek is grateful for the opportunity to continue her quantitative as well as business education at UCLA Anderson. Ipek is eager to learn more from the expert faculty about business analytics and data-driven strategies so she may make better business decisions. Ipek enjoys learning Python, R, and SQL, and has found the Machine Learning for Decision Making, and Customer Analytics courses particularly exciting, and looks forward to using her newly acquired skills in analytics and product management positions after graduation. In her spare time, Ipek enjoys sailing, learning new languages, and exploring film, photography, and media arts.

Irene is currently pursuing her Master's in Business Analytics at UCLA Anderson School of Management. She graduated with distinction from UC Santa Barbara in 2021 with a Bachelor of Science degree in Financial Mathematics and Statistics. 

She attained a sound grasp of advanced mathematical and statistical theories during her undergraduate studies. As one of the top 20% applicants selected, she embarked on a project to study the two classical algorithms, Newton-Raphson and Brent's Approaches, and develop a Long Short-Term Memory (LSTM) model for forecasting stock price on close based on time series data. She further developed her knowledge in the derivatives market and honed her skills in Python, R, SQL, and SAS through her internships 

Upon graduation, she joined Black Knight as a financial engineering consultant to optimize risk prediction models for mortgage-backed securities. She also utilized her analytical and modeling skills to build a customized non-QM model for her client and provided recommendations on modeling strategies. Through her interaction with the Client Support and Development Team, she learned how to work cross-functionally within an organization.

Having oriented her academic and professional preparations toward business analytics, she envisions herself applying the Machine Learning and Data Storytelling skills she acquires from MSBA to help organizations achieve effective decision-making. 

Isha comes from a background in business and engineering, with experience across multiple analytics domains. Her interest in data analytics stems from her work in her previous role as Data Analyst with one of the largest global marketing and advertising agency networks.  

With an undergraduate degree in Computer Science Engineering from IGDTUW, Delhi, a premier engineering school in India, she worked as a Developer intern at Cisco ThingQbator on a build from scratch product development project. This project experience gave her the understanding of how data management and product structuring works and how critical it is to realize the responsibility of the data accuracy for optimization solutions.

Strengthened by a background in Merkle, Dentsu’s analytics practice with leading Automobiles, Pharmaceuticals and Consumer Retail clients, Isha is skilled in 5+ leading Business Intelligence platforms, Python, SQL, statistics, machine learning, besides strong understanding of customer behavior, sales and marketing tools and product analytics. Isha works best in fast-paced, demanding, and collaborative environments, which require a hands-on and data-driven approach to solving the most intricate corporate problems. 

Isha joined the Business Analytics program at UCLA Anderson to build up business acumen and round out her analytics training in a truly interdisciplinary setting. Isha is excited to combine her background in descriptive analytics with exciting techniques in machine learning and neural networks to help data-driven predictions and optimizations to customize user experience through analytics. 

Ivan Yang graduated from Wesleyan University with a B.A. in Economics and Philosophy, and a Minor in Data Analysis. Harnessing the power of data and becoming a professional in the field of data science, Ivan is currently pursuing a M.S. degree in Business Analytics at UCLA Anderson School of Management.

His primary focus is to derive insights from data and transform them into strategic assets for companies that point to long term growth.

Ivan’s experiences with international projects helped companies diversify their geographic reach across the globe by developing localization strategies that are in alignment with regional nuances. He has studied, lived, and worked in three different cultures (U.S., UAE, and China), which prepared him well for working with people from diverse backgrounds and of all ages. Ivan also possesses strong interpersonal skills and is an active team player.

His specialities include:

✯ Programming Languages: Python (pandas, numpy), SQL (join & window functions), R (dplyr, tidyverse), LaTex
✯ Analytical Tools & Software: STATA, Microsoft Excel, Google Sheets
✯ Data Visualization: ggplot, ggplot2, Cytoscape, matplotlib
✯ Data Modeling: Network Analysis, Linear Regression, Random Walk

Aside from his work, Ivan is an avid golfer with 6 years of experience!

Jiacen graduated from Purdue University in 2022 with double majors in Applied Statistics and Industrial Management/Data Analytics, and a certificate in Applications in Data Science. In an effort to explore the real-world application of statistics and data analytics, Jiacen interned as a data analyst at an American supercenter chain throughout the Midwest, which gave her an eye-opening exposure to the data-driven supply chain management (SCM) and operations research (OR), a socially impactful business area where cutting-edge statistical theory, mathematical optimization algorithms, and data analytics tools are combined to help forecast market trends, plan for inventory, land on optimal strategies, increase profit line, and ensure visibility across all the market channels. 

Academically, Jiacen considers herself in possession of three defining traits, i.e. perseverance, critical thinking, and curiosity, allowing her to garner an exemplary GPA and several prestigious scholarships. As for her quantitative background, Jiacen’s knowledge in mathematics spans mathematical analysis (multivariable calculus, differential equations) and stochastic mathematics (probability, inferential/descriptive statistics, time series analysis, stochastic processes), with their applications for modeling dynamics processes, driving mathematical optimization, guiding algorithm design, enabling statistical learning, and quantifying uncertainty. As for programming skill, Jiacen is a proficient user of mainstream languages including Java, MATLAB, Python, the statistical computing languages such as R and SPSS, and the database language such as MySQL. Driven by her great passion in data analytics, Jiacen gained familiarity with various libraries in Python for data wrangling (NumPy, SciPy and Pandas), machine learning (Scikit-Learn and TensorFlow), data mining (Scrapy), data visualization (Matplotlib and Seaborn), and automated testing (Selenium). Also, she developed a decent proficiency in using relational SQL database, distributed database (Hadoop), and the associated engine for large-scale data processing (Spark).

Jiacen understands that the success of the data analyst profession hinges on effective stakeholder collaboration. Going forward, Jiacen is looking forward to further study at UCLA Anderson School of Management how to communicate effectively with customer partners with limited technical background, how to collaborate with internal technology partners to design, deliver, test, support, deploy, and support the product, and how to convince business partners who authorize, champion and support the product based on well-prepared presentations and rigorously established rationales. 

Upon graduation from UCLA, Jiacen aspire to join a IT & networking/retailing/manufacturing company, where she can leverage her advanced data analytics and deep understanding of SCM to gather, interpret and deliver the insights to the business decision makers, allowing them to optimize resource allocation, and build an intricately balanced set of innovative capabilities across various business developments. Facing increasing competition, regulatory constraints and customer needs, the manufacturing industry nowadays is seeking new ways to leverage technology to gain efficiency. Correspondingly, there exist numerous challenges such as the collection of unstructured data differing greatly in volume, variety and velocity, the biased statistical analysis leading to misleading conclusions, and the lack of long-term predictive capability. Those are among the key areas Jiacen hopes to work on going forward.

Lydia Jin obtained her degree in Business Administration with minors in psychology and media design from Carnegie Mellon University with honors in 2018. Through her interdisciplinary studies at CMU, Lydia saw the interconnectedness between various fields and how data analytics is the ubiquitous foundation of driving successful strategic decisions.  Driven by her passion in business analytics, she joined Deloitte upon graduation and worked there for 3 years as a Senior Consultant. Lydia served a multitude of cross industry clients including TMT, consumer goods, financial, and healthcare companies She supported these companies in services-led transformation, data visualization and metrics reporting, agile transformation, operations remodeling, and technology risk related projects. She gained hands on experience using SQL, Microsoft Excel VBA, and Alteryx on her projects. Additionally, Lydia worked as a Solutions Engineer at CaptivateIQ, a commission automation SaaS startup where she built in-house custom product models and presented demos for prospective clients which led to numerous sales. Lydia also worked on ad hoc projects with the product and design teams to design and push new product features. 

Lydia is a firm believer and practitioner in building the bridge between business and technology. With a strong passion in becoming an advanced data analytics professional, she is currently pursuing a MS in Business Analytics degree at The University of California Los Angeles Anderson School of Business. She is strengthening her skills in integrating knowledge from the three pillars of statistics, business, and programming and looks forward to creating more business value in the future with the use of data. 

Jiaqi graduated summa cum laude from the University of California, Los Angeles in 2022 with a bachelor’s degree in Mathematics/Economics, specialized in Computing. Her deep interest towards data science and analytics led her to pursue her master’s degree in Business Analytics at UCLA Anderson. She sees herself as an active thinker, a quick learner, and a creative problem-solver that is in nature intrigued by questions and is eager to take on new challenges.

During her undergraduate studies, Jiaqi developed a solid foundation in mathematics, statistics, and programming. Jiaqi conducted several data analytics and machine learning projects in which she built complex classification and prediction models, conducted temporal network analysis on 300K rows of data, and created a web app for user interaction. She also developed knowledge in algorithm, optimization, data structure, and other programming related subjects in pursuit of her degree specialization.

In the professional realm, Jiaqi worked as a Business Analytics Intern on the Product-Led-Growth team at Trimble during summer 2022, where she used her knowledge in SQL, Excel, and various visualization tools to automate core data processing workflows that were done manually in the past, improving the team’s work efficiency by 80%. She also analyzed and compared product marketing performance across Trimble construction softwares, and created data dashboards and reports to deliver actionable insights for future improvements. Jiaqi is looking forward to further honing her skills in analytics during her time at Anderson, and she can’t wait to contribute her unique insights and values to the world of data upon graduation.

Jiarui graduated from the University of Illinois at Urbana-Champaign in May 2022 with bachelor’s degrees in Finance and Accounting. During her time at UIUC, she developed an entrepreneurial mindset and a deep understanding of the financial market, which assisted her toward reaching her goal of making an immediate significant impact as a business analyst within a dynamic environment. Both of her internships at investing and financing departments in China have prepared her to process financial data in the IPO process and conduct constructive research of multiple industries. Meanwhile, the investment stimulation project further developed her technical analysis skills, which also inspired her in business analytics for her master’s studies.

Jiarui joined the Master of Science in Business Analytics (MSBA) program at UCLA Anderson in 2022, with a strong passion for expanding her knowledge in data science and business domain. Through her coursework, Jiarui improved her proficiency in programming languages such as Python, SQL and R, and analysis skills for academic and industrial applications such as prescriptive models and business optimization. 

She looks forward to leveraging her past professional experience and the skills gained from the study at MSBA program at UCLA to make her adapt to the role of a business analyst in the near future.

Jenny pursued her Bachelor in Commerce with a Marketing concentration at the University of British Columbia and her first Master's in Strategic Communication with a focus on digital media at Columbia University. Her experiences as a marketing analyst and digital media specialist in a luxury furniture retailer, eCommerce startup, airline, and FinTech have confirmed her career passion in the marketing field. 

Jenny joined the Master of Science in Business Analytics (MSBA) program at UCLA Anderson in 2022 with a strong passion for combining her marketing passion and expertise with advanced analytical skills. Prior to joining UCLA MSBA, she had over two years of work experience in which she witnessed that all marketing decisions are made based on data and thorough analytics. Marketing analytics coupled with widely-available data from eCommerce and digital media platforms empower modern marketers to make more informed decisions. Reflecting on her current toolkit, she would like to sharpen her analytical and technical skills to integrate advanced analytical tools into the marketing decision-making process. Career inspiration and industry trends are two key reasons she wants to pursue a career in business analytics after graduation.

She is also confident of her success in the field because she has demonstrated solid analytical skills throughout her previous experiences. Given the opportunity, she will be able to unleash her career potential by positioning herself as a unique talent with advanced marketing experience, expertise, and analytical capability.

Jiaxin graduated from UCLA in 2022 with a Bachelor’s degree in Applied Mathematics. During her undergraduate studies, she accumulated knowledge in math, statistics, and computer science. She has developed interest in data analytics through coursework and projects. She’s passionate about translating data into actionable insights.

Currently, she is a Master of Science in Business Analytics student at UCLA Anderson School of Management. She has enjoyed learning about statistical modeling, machine learning, and optimization courses. She implemented her analytics and visualization skills to distill insights from data for clients in industries including automation & sustainability, e-commerce, and education.

She aims to achieve effective data storytelling that addresses the needs of intended audience and to synthesize findings for recipients to leverage insights for intelligent decision-making. She looks forward to using the data analytics and machine learning knowledge she has learned in MSBA in her future job.

Zelia is now a MS in Business Analytics student at UCLA Anderson, and she graduated from the University of California, Berkeley in Fall 2021 with a B.A. in Statistics. She has been top in her major during her undergrad studies and was invited to Phi Beta Kappa, Alpha of California (Academic Honor Society).  Jiaying is passionate about integrating data analytics into business decisions and bridging the communication gap by presenting complex problems to different clients in the simplest ways. She aims to be a person who understands the deep logic of Statistics/Mathematics models with professional programming skills and great problem-solving capability.

Prior to MSBA, Jiaying was an intern at HITACHI, she learned to integrate data analytics into business decisions. She was tasked with optimizing code (Python) to implement high first-pass yield (FPY) and supply-side transitions and analyzed historical data (SQL & Tableau) with algorithm methods to find greater efficiencies. During this internship, she was introduced to full automation barriers in the East Asian business environment. The obstacles included scalability, lack of human resources, and high cost of automation. During her undergrad studies, she advanced her technical knowledge through tons of academic and Kaggle projects(Python, Machine Learning, Time Series Analysis) in different fields. 

It’s her honor to join the UCLA MSBA family. In her business endeavors and internships, these realizations became the main driving force for applying to business analytics graduate programs and pursuing a career centered around analytics. Though she has been able to feel relatively comfortable with coding, having taken two boot camps in the past six months to create the necessary programs to actualize her vision, she lacks the business experience and acumen to connect business and data analytics properly. UCLA's Business Analytics graduate program helps her to bridge this gap together.

Jieke Liu received his bachelor’s degree in Risk Management and Insurance from Peking University in 2022. Back in his undergraduate years, Jieke interned in several different industries, including finance, management consulting, commercial banking and internet. In this exploration process, the internship experience as a data analyst at a commercial bank helped cultivate both his technical skills and his communication skills in the process of building and implementing prediction models. That experience, as well as the Quantitative Marketing Models course that he took in his junior year motivated his passion for applying data analytics to business context. As a gamer and e-sports fan himself, Jieke had great passion for the gaming industry and LA provided some of the best gaming companies in the world. The above factors together led to his decision to join the Master of Science in Business Analytics program at UCLA Anderson School of Management, and started his career in the analytics field.

Jieke has learned a lot from the MSBA program. On the technical side, his SQL, python and R skills are greatly improved through coursework as well as competitions. Jieke participated in three analytics competitions- Adobe Analytics Challenge, Humana Mays Healthcare Analytics Case Competition and Amazon Hackathon, from which he gained much data science experiences and practiced using his analytics skills in real-life data. On the soft skill side, the program provided many team work opportunities, where he collaborated with classmates from very diverse background. This greatly strengthen his communication skills by translating technical terms into plain words and effectively presenting them to teammates. Such experience helped him prepare for future cross-functional collaboration in workspace. 

Julian graduated from California State University Fullerton in 2022 with a Bachelors of Business Administration and a concentration in Business Analytics. He started his career in Business Analytics with Data Analyst internships at Vervent and Mint Mobile, tasked with analyzing large datasets and building data pipelines using Python and SQL.

Additionally, Julian has multiple data driven passion projects such as a natural language processing project that draws data from the 2XChromosomes subreddit to observe changing attitudes of women over the last decade.

Currently, he is pivoting his career toward data engineering with the goal of helping companies produce efficient and reliable data pipelines and infrastructure. He is particularly interested in big data frameworks such as Spark and Hadoop and how companies leverage these technologies to deal with Big Data.

Justin is a native Californian who graduated from the University of San Diego in 2018 with a Bachelor’s in Finance. Following graduation, Justin remained in San Diego as part of Wells Fargo’s Commercial Banking division, where he held a variety of roles specializing in financial data analysis, portfolio management, and client management of middle market companies with revenues ranging from $20M to $2B. These roles allowed him to work cross-functionally with his analysis and sales teams to guarantee deal continuity and develop strong relationships with his clients. During his time at Wells Fargo, he found himself becoming increasingly interested in quantitative business analysis and the strategic decision-making process that follows. 

After nearly four years of financial analytics and management experience in banking, Justin is now excited to pursue a deliberate career pivot into business analytics. Justin joined the Business Analytics program at Anderson to round out his business acumen and hone his analytics skills in an interdisciplinary setting. Leveraging his finance background, Justin is looking forward to blending his business experience with the skills learned in the MSBA program to help spearhead data-driven enterprise decisions. He has found his database management courses especially exciting and looks forward to applying this knowledge in a business analyst role in the future. 

Beyond the classrooms and offices, Justin is an avid golfer, snowboarder, hiker, and traveler. If he’s not on the links, at the beach, or in the mountains, you’ll find him watching whatever big game is on (Go Bruins!). He also offers his time as an executive advisor for a student organization he was previously a leadership member of at the University of San Diego. There, he utilizes his knowledge and experiences to lend a helping hand to those in a similar position as he once was, with the goal of improving their efficiency and maximizing their campus impact. This commitment as a former student leader has pushed Justin to remain involved as an active student leader, serving as a Director of UCLA Anderson’s SBA (Sports Business Association). 

Justin is honored to be part of the 2023 MSBA cohort and is continuously impressed by the knowledge and achievements of his diverse classmates and Anderson faculty alike. 

Karthik completed his bachelor's in Materials Science from the Indian Institute of Technology (IIT) Bombay. He was taken captive by Data Analytics during his sophomore year. To add a hands-on facet to my learning, he participated in hackathons to hone his data analytics skills and make himself competent enough to take on more considerable challenges. His project on HR Appraisal Analytics opened up a completely different world to my imagination. Additionally, his internship with MITACS, which entailed materials and analytics, motivated him to believe that data paves a deterministic way in any field. In a way, these experiences reinforced his belief that Data is the new currency.

After witnessing the power of data, he chose to work as a Business Analyst at Axis Bank. His work majorly involved providing data-driven solutions to improve the commercial lending business. He drove acquisition campaigns that enhanced our book by $20M. He also developed segmentation models and performed A/B testing to assist the sales executives in effectively managing their portfolios. 

He joined UCLA's MSBA program to gain the best possible amalgam of business skills and data analytics. He aims to develop hyper-personalized strategies to propel synergetic relations between consumers and businesses. From volunteering to ensure the health and hygiene of campus workers to conducting awareness and donation drives, he believes in bringing positive change in society. In addition to his professional pursuits, he hopes to empower disadvantaged students with his knowledge and prowess. 

In his free time, he finds solace around music, spending time with friends and family, and watching cricket.

Khang has four years of experience working in both public and private sectors. Currently, he is pursuing a Master of Science in Business Analytics at UCLA Anderson School of Management, with an Anderson Merit Fellowship. With a passion for data management, he aspired to become a Data Engineer who develops effective data solutions for organizations.

His journey into the data space began with his experience as a Research Analyst at Third Bridge, where he worked closely with many consulting clients such as BCG, Bain, L.E.K, and PwC, to deliver primary research reports with industry insights. He used tools such as MS Excel and PowerBI to develop dashboards and support his analysis. At Avery Dennison, as an Account Manager and Sales Analyst, he used Qliksense and MS Excel extensively to analyze sales data, make reports, forecast sales and present data with visualizations. Khang also has completed two boot camps on Python and Machine Learning (conferred by FPT Software) and Data Engineer Professional Certificate (offered by IBM and Coursera), from which he obtains solid knowledge of data engineering.

In the MSBA program at UCLA Anderson with a strong focus in analytics, he practices solving business problems with SQL, R and Python featured prominently. Khang has found his Database Management course especially exciting and can’t wait to apply his knowledge in a Data Engineering role upon graduation.

Outside of studying and working, Khang is actively into running, hiking and volunteering. He also loves learning new languages.

Kun graduated from Boston University in 2021 with a B.S. degree in Mathematics with a concentration in Statistics. During her undergraduate program, Kun took programming and math courses which gives her a solid technical background. Kun discovered her passion in working with data and drawing useful conclusions from data analysis through group and individual projects including time series, stochastic methods and linear modeling. 

After completing her degree, Kun interned in a startup company called Shepherd Ventures which focused on making business decisions using data analysis during market meltdowns. As a quantitative analyst, Kun’s job included performing weekly web scraping, developing mathematical models to predict market behaviors, and making business decisions in a business setting. 

This one-year internship experience helped Kun determine to pursue a degree in MSBA in UCLA in order to acquire more analytics and business knowledge. She is particularly excited about the Prescriptive Modeling, Database Management, and Optimization courses. Kun is looking forward to applying these analytical skills to solve real world problems and making better data-driven decisions.

Leo graduated from the University of Michigan with a Bachelor’s degree in Statistics & Data Science, and a double minor in Business and Entrepreneurship. He strives to combine his business acumen and data expertise to empower better decisions and drive business value. Leo has worked as a business analyst intern and data science intern across various industries at companies like Wayfair and Huawei Technologies, and his projects range from sales forecasting and outlier detection to speech analytics, supply chain optimization, and sports analytics. Leo’s passion for business analytics is rooted in his fondness for data and his belief in its potential.

Leo joined MSBA because of its exceptional balance of academia and career focus. He believes that successful data experts require more than a solid foundation in statistics and analytics, they are entrepreneurs, problem solvers, and critical thinkers. Furthermore, they need to have communication skills, presentation proficiency, and a solid understanding of business. Leo believes that the MSBA program at UCLA can foster such talents, and he is beyond excited to join the class of 2022.

Besides playing with data, Leo also loves to travel and play basketball. He is probably the biggest Washington Wizards fan you will find. Outside of school and work, you can either catch him at the John Wooden Center or Terminal 7 of LAX airport.

Linglong Zhuo graduated from the University of California, San Diego with a bachelor's degree in Applied Mathematics and a minor in Business. During her undergraduate studies, she developed a solid theoretical foundation in quantitative disciplines such as linear algebra, time series and stochastic processes, and optimal resource allocation. She also garnered knowledge in finance, global venture strategy, product promotion, and brand management.

After graduation, Linglong worked as an e-commerce specialist for a wholesale cabinet hardware company where she was delegated to help the company transition from a brick-and-mortar store to various online platforms. With Python, she built a framework to analyze user experience metrics and leveraged it to redesign the entire site in conjunction with SEO techniques. In addition, she updated product listings and used R to analyze collected online sales data in which she identified areas of loss across product lines and proposed solutions to senior management to optimize price quotes and ensure the company maintains a healthy profit margin. She believes that business analytics helps achieve micro-targeting and personalized communications that facilitate an emotional connection between the customer and the company's brand values, which is critical in addressing today's fast-paced, mobile-oriented consumer mentality. The power of business analytics skills in alleviating the challenges associated with data and content management, as well as empowering companies to gain a holistic perspective in aligning strategies and reaching performance goals, make it an attractive career for her.

The MSBA program at UCLA Anderson has helped Linglong sharpen both her conceptual and practical understanding of analytic frameworks, optimization methods, prescriptive and predictive modeling, and machine learning. These hard skills allow her to assist organizations in making data-driven decisions and providing actionable insights that could boost organizations' performance. The program also equipped her with strong soft skills, such as communication skills, that are essential to mitigating gaps in understanding between different teams and communicating effectively with stakeholders. Linglong is excited to join the MSBA 2023 cohort and looks forward to applying her technical and business skills in analyzing industry trends and delivering companies' standalone value efficiently and cost-effectively.

Martin graduated as an Industrial Engineer with specialization in Information Technologies from Universidad Católica de Chile in 2014.  Working as the COO for a startup on 2014, he developed a strong interest in problem solving and using the data and analytics to help companies to make better strategic decisions. After that, he worked as a Management Control Analyst in an international hospitality company. In two year, working with the data-warehouse, business intelligence, and leading important projects, he was promoted to the head of the department, having in charge a team responsible for the development of business intelligence. The company was acquired by Accor, where Martin participated as one of the leaders in the due diligence, the posterior integration of processes and systems between both companies and was in charge of the reporting of more than 200 hotels in South America.  

The last working challenge was in other international hospitality company, Tanica Hoteles, where he was hired to make some big changes in how the company was managing the hotels and develop the Business Intelligence department. On those two years, using his strong analytical and technical skills, teamwork and business knowledge, Martin was able to change some core systems, pipelining and start using the data to create a data-warehouse, feeding different core processes and reports all across the company. This led to a modernization of the company, on how processes from the operation to general management started to be based on using the reporting, automating processes and changing the culture of the company to be more analytically driven.

His desire to always be learning new technologies, is what pushed him to be pursuing a MS in Business Analytics at UCLA Anderson, allowing him to learn from the best experts how to use data find insights that can be transformed into strategic actions.

Melvyn Wang graduated from The University of Texas at Austin on May 2019 with a degree in Petroleum Engineering and a certificate in Business Foundations. During Melvyn’s undergraduate degree, he first became attracted to data-driven analysis from his student research position. This was his first exposure to high level data analysis in an industry where data was not highly explored. During his time in this position, he was able to work closely with developing a NOSQL database for the data provided by multiple oil and gas companies. Furthermore, Melvyn performed profound data analysis through MATLAB that helped reduce the companies’ operation costs by 5%. Evidently, Melvyn saw the importance of data driven decisions for businesses and decided to apply these skills through his professional career.

After graduation, Melvyn became an Optimization Engineer at ChampionX, one of the largest oil and gas service companies in the industry. At ChampionX, Melvyn learned to make quick and effective decisions while performing data analysis in order to keep the clients satisfied and their equipment producing for as long as possible. Melvyn was also able to continue developing his leadership, communication, and technical skills as he interacted with clients daily and led client meetings to explore ways of improving production through thorough analysis of past data. Driven by his passion to generate business impact using data, he is now currently pursuing a Master’s in Business Analytics at UCLA to further develop his analytical and technical skills.

Melvyn is excited to be a part of the MSBA class of 2023. He is especially excited to indulge in the Competitive Analytics and Entertainment Analytics coursework. Melvyn is looking forward to gaining the business acumen and improving his analytical practice throughout the program. Ultimately, Melvyn is excited to combine all his experiences to make an impact on his future data analytics team and business.

Michelle graduated from UCLA with a BS in Financial Mathematics and a BA in Communications. Her interest in data analytics started in her senior year, where she developed and carried out a year-long research project as part of UCLA’s highly selective honors program. Michelle was awarded the Undergraduate Research Fellows Program Scholarship for her research in identifying the presence and strength of correlations between various demographic factors and knowledge levels on women’s healthcare.

Upon graduating, Michelle spent the following four years working as a data analyst at a marketing startup. During her tenure, she developed an automated KPI reporting system using R that improved productivity and helped implement an SQL database that translated business needs into actionable insights. She performed various analyses which included time series modeling for projections and KNN models for CPA optimizations. Michelle is also proficient at data visualization and enjoys utilizing data trends to build case studies and business decks to provide support for strategy recommendations. 

Michelle is currently enrolled in the MSBA program at UCLA Anderson School of Management to gain business acumen and round out her analytics training in a truly interdisciplinary setting. She is particularly interested in competitive analytics, product analytics, and machine learning. Michelle is passionate about analytics and believes in its ability to optimize businesses using data-driven decisions. She wants to use this program to leverage data for strategic decision-making and use storytelling to engage and persuade audiences on the importance of data insights.

In 2019, Miranda graduated with a B.A. in International Business and a minor in Accounting from University of California, San Diego. In her time at UCSD, she built a solid business foundation with coursework in organizational leadership, finance, marketing, business strategy, and advanced accounting topics. She also paddled on the UCSD Dragon Boat team for four years, serving as a board member for two years as the Fundraising/PR Chair and Social Chair.

Upon graduation, Miranda joined KPMG’s Silicon Valley office in the Corporate Tax department. Throughout her time with the firm, she developed her analytical, leadership, and project management skills. As an Associate, she cleaned and analyzed financial data for cybersecurity, retail, and tech companies, building tax models for compliance and financial reporting purposes. After her promotion to a Senior Associate, she also managed project workflows and mentored associates and interns to develop strong team members on top of technical work. Additionally, Miranda earned her Certified Public Accountant (CPA) license in December of 2020 after successfully passing all four parts of the exam and gaining a full year of work experience.

In the M.S Business Analytics program at UCLA Anderson School of Management, Miranda has found problem solving using SQL and Python to be particularly satisfying. She is excited to develop further knowledge on internet and customer analytics and leverage her new skills to future roles where she can help effectively drive business decisions based on insights extracted from data.

Nicholas is a student in the M.S. Business Analytics program at the UCLA Anderson School of Management. Beginning his studies as an undergraduate at Boston College’s Carroll School of Management, he learned a mix of business and technical skills. Post-graduation, he refined and expounded on these skills working as a consultant and as a data analyst.

Upon graduating from Boston College, Nicholas worked for two years as a consultant in Boston, MA. Working mainly at multinational banks, Nicholas learned SQL and combined his quantitative skills and business acumen to improve bank-wide data quality. Enjoying the opportunities available with SQL, he moved to a Data Analyst position at a healthcare analytics company where he provided diverse clients with actionable and customizable reports. Wanting to continue his education, Nicholas applied to Anderson’s Business Analytics program.

In the MSBA program, Nicholas is improving his SQL skills, developing machine learning expertise in python, and applying advanced statistical concepts in R for analytics. He is grateful to be learning from world class faculty along with exceptional peers. 

Nicholas is excited to apply the knowledge he has acquired in the program to future internships and full-time roles. His areas of preference are data science and data analytics but is open to experience any data related roles.

Nihong worked as a Product Manager at China Foreign Exchange Trade System, the interbank trading division of China’s Central Bank, for nearly four years. She led multiple Proof-of-Concept projects to boost FinTech innovation, such as recommendation system and synthetic data. She also managed the implementation of Data-related Information Systems, helping integrate new products with existing eco-system and streamline the customer journey. Through this experience, she learned how to leverage analytics and cutting-edge technical tools to satisfy clients’ business needs and reduce operation cost. Prior to working at China Foreign Exchange Trade System, Nihong graduated with a master’s degree in Business Administration with honors from Peking University. She also completed her undergraduate studies at Peking University, majoring in Accounting.

Currently, Nihong is a Master of Science in Business Analytics student at UCLA Anderson School of Management, with an Anderson Merit Fellowship. She joined this program to further develop her skills in data analytics by growing her comfort with different programming languages and learning more about utilizing the technique to solve business problems. She is excited to focus on topics such as machine learning, customer analytics, and data management. She can’t wait to apply her knowledge into empowering wider communities upon graduation.

In her free time, Nihong enjoys Sci-Fi movies, Rock music, and playing Animal Crossing. She also actively participates in strength exercises, hoping to get strong with her fellow Bruins.

Pallav graduated from BITS-Pilani, a tier 1 University in India, in the year 2016 with a degree in B.E.(Hons.) Civil Engineering. Pallav developed a passion for Analytics towards the final years of his undergraduate education. He completed a few courses on Coursera to augment his skills and was able to crack one of the toughest job interviews at ZS Associates and was, thus, able to land a job there. 

At ZS Associates, Pallav underwent a training in Patient Level Data (PLD), one of the most important and nuanced datasets in the Pharma domain, and he applied those concepts to his next job at Tredence Analytics to solve problems ranging from evaluating performance metrics of a drug to optimizing the sales of a drug.

Majority of the Pallav’s work experience is in Payment Processing industry as he worked at PayPal for about 4 years. At PayPal, he solved challenging business problems and his recommendations led to consistent multi-million-dollar loss savings and revenue gains. He was instrumental in building the “Incentive Abuse” portfolio at PayPal that aimed to save marketing campaigns from incentive abuse. 

Pallav is currently augmenting his skills in Optimization, Machine Learning, AB Testing, through the program of MS in Business Analytics at University of California, Los Angeles (UCLA).

Peilin He is a result-oriented problem solver and an excellent team player with concrete knowledge of data science and extensive analytics experience.

She graduated with distinction from the University of Virginia, McIntire School of Commerce with a Bachelor of Science degree in Commerce, with concentrations in Finance and Marketing. During college, Peilin developed a solid foundation in quantitative analysis with Excel, Python, and R, gained hands-on experience analyzing raw data under different business contexts, and honed her skills in communicating compelling stories based on data-driven insights to C-suite audiences.

Upon graduation, equipped with skillsets in processing and analyzing massive financial data, Peilin joined KPMG LLP in New York City in its Economics and Valuations Service Group. During her three years at KPMG, Peilin performed a series of data-oriented financial modeling for M&A transactions and led teams of associates to solve real-world problems that consistently led to multi-million-dollar revenue generation. She also spearheaded the initiative to incorporate data from post-M&A financial disclosures to build a robust framework that validated internally computed modeling assumptions.

Currently, Peilin is pursuing a Master of Science in Business Analytics degree at UCLA Anderson School of Management, with aspirations of applying technical skills from rigorous training offered at the program and business acumen accumulated from industry experiences towards data science/product analytics roles in the Technology/Entertainment/Consumer Retail industries during the summer of 2023 and upon graduation.

Prakhar has worked as a data analyst and has over four years of experience developing large scale projects. He was introduced to the world of analytics during his internship with a major US based airline and he continued to delve deep into understanding and appreciating the power of data. He has delivered various projects and has worked extensively on related infrastructure including data warehouse, data pipeline, microservices and dashboards deployed in a cloud environment. These projects have led the company to savings and more control over consumer data.

Rateeb has three years of experience working in data analytics and machine learning projects for a startup he launched in 2019. Back then, Rateeb started 01tutor, a company that designs and sells online courses tailored to undergraduate students in target universities in the Middle East and Canada. Rateeb has operated the company for three years as a Chief Executive Officer, where he led a team of marketers, lawyers, instructors, and developers to drive his business forward. He leveraged data analytics to come up with data driven solutions to enter new markets, grow revenue streams, maintain customer loyalty, and improve operational efficiency. Currently, he is pursuing his Master of Science in Business Analytics at UCLA Anderson School of Management.

Apart from creating and maintaining structural databases for his business, Rateeb has built and evaluated machine learning models to solve problems about Natural Language Processing, Operational Analytics, and Customer Analytics. He has also conducted simulation analysis to study short and long term effects of inflation, costs, revenues, and MARR on his business. This has led to critical decisions that grew the business and alleviated macroeconomic problems. 

During his undergraduate studies at the American University of Beirut, Rateeb was interested in discovering the distribution of prime numbers. He worked closely with his undergraduate Mathematics professor to analyze a dataset of one million prime numbers. He leveraged Python to analyze, visualize and build models from available data. As a result of his research, Rateeb proposed two prime conjectures and was able to build a Random Forest Classifier for predicting primes with a 100% precision. 

Rateeb has also conducted a lot of independent projects on the side, which enhanced his hands-on experience with large datasets and machine learning applications. He built and evaluated machine learning models to predict spam emails, classify images of cats and dogs, predict probability of admissions to a graduate school, cluster customers of a bank, and build recommendation engines (both collaborative and content based).

Rateeb is developing a lot of technical skills at UCLA Anderson. He has found his Machine Learning courses very interesting and can’t wait to build on his knowledge and apply his skills in a data analyst role upon graduation.

‘Without data, we are just another person with an opinion’ is an excellent quote by Edward Deming.  Keeping this in high regard, Rohan appreciates the potential of analytics across the Fin-tech industry. His curiosity about data analytics as a problem-solving tool started growing during the time spent at his alma mater IIT Kharagpur. He worked as a research assistant at NCTU Taiwan and did remote projects with the University of Halifax, Canada during his Undergraduate studies. 

He was a campus hire for EXL Analytics and worked for a US banking giant for 4 years, covering the areas like Credit Risk, First Party Fraud, and Comprehensive Capital Analysis & Review (CCAR).  His area of expertise lies in formulating strategies for revenue increment, loss mitigation, and customer experience enhancement encapsulating the concepts of Credit Abuse. Apart from being skilled in SAS/SQL, Python, and data visualization tools, Rohan has a great business understanding of this industry and was highly active in project engagements with senior leadership and management. He implemented 5 credit change initiatives leading to $7M in benefits. Within the CCAR project, Rohan led the work of the Business Risk Team, managing the Federal deadlines, cross-functional work, and the stakeholders from 6 different verticals inside the organization. He was responsible for his projects from conception to post-implementation at EXL Analytics. 

Apart from work, Rohan is a skilled Tabla (Indian Classical Instrument) player. He also enjoys playing Basketball in his leisure time. He is looking forward to working on impactful Analytics projects in Fin-tech and creating more impact for customers by leveraging the learnings from the MSBA Program at UCLA.

Rohan is an Analytics Professional with 3+ years of consulting experience in healthcare, energy, and research.

He graduated in Mechanical Engineering from IIT Dhanbad. After a brief period of working as a research assistant at the Multiphase flow lab at IIT Mandi, Rohan joined a consulting company as a safety consultant where he assessed risk of core damage of a European nuclear power plant in case of a fire accident.

In his next job at ZS Associates, Rohan worked on designing and executing several growth marketing projects involving customer insights and market research to generate data-driven insights for Fortune 500 pharmaceutical companies. His efforts were consistently appreciated by his team, and he was promoted to the role of Associate Consultant in less than 2 years with the company.

Rohan is keen to learn and use advanced techniques like ML and big data to solve business problems. UCLA’s MSBA has already started paying dividends as he has worked on a couple of ML projects and strengthened his understanding of Statistics. He looks forward to exploring challenges faced by different industries and solving them using advanced analytics. 

In his free time, Rohan enjoys playing chess and reading fiction.

Rohith completed his Bachelor’s in Mechanical Engineering from the National Institute of Technology (NIT), Calicut in India. He was first exposed to business within the field of engineering and technology when he took up the courses, Management of Production Systems, Quality Planning and Analysis, and Supply Chain Management, in his Bachelor’s degree. These areas rekindled his passion for finding solutions to challenging problems, thus drawing him towards the analytical side of the business field. 

In addition, the practical sessions on the statistical programming languages like R and Python Programming, helped him to realize how data can be perceived and analyzed. Moreover, online courses in the areas of Data Science, R, and Python programming, further illuminated him about various disciplines within this field. Displaying sound knowledge in Analytics and Programming, got him recruited as an Associate IT Consultant, at ITC Infotech India Limited. Here, he further demonstrated his programming skills in C, C# and ReactJS Library, through different projects.

He was able to join the UCLA Anderson School’s MSBA program which enabled him to expand his knowledge in his areas of interest such as Machine Learning, Data Visualization, Statistical Mathematics, R, Python and SQL for Data Science, Customer Analytics and other courses on Business Administration.  He wishes to learn to integrate and apply these knowledge and skills of Business Analytics to create better business value and to give back to his society. 

Apart from academics, he has always been keen to work for underrepresented groups throughout his education. He wishes and strives to be a part of the diverse and inclusive community that the Anderson School is and hopes to carry forward the spirit of diversity, equity, and inclusion to my professional life.

Ruiqi Chen graduated from the University of Michigan in 2022 with a Bachelor's degree in Statistics & Economics and a minor in Entrepreneurship. During her undergraduate years, she worked as a research assistant at Automotive Futures to study industrial movements of the New Energy Vehicles market. Driven by her strong interest in business and data science, she incorporated her analytical acquaintances and skills to tackle real-world problems through internships at Bank of America Merrill Lynch as a credit risk analyst and a product analyst at American Express. 

Her interest in business analytics is built upon her sensitivity to numbers, business intuition, as well as her belief in the potential of data. She has comprehended the ability to utilize the power of data analytics tools to influence business decisions. This also motivates her to pursue her MS in Business Analytics at UCLA Anderson.

She is innovative, collaborative, and communicative, as well as a leader and problem-solver. Product management and business analytics in the technology field are at the intersection of her passion and skill sets, as well as a tremendous and growing industry demand.

Sean is a collaborative, data-driven problem solver passionate about leveraging the capabilities of new technologies to drive business value. 

After completing his undergraduate coursework a semester early, Sean graduated from Fordham University with a degree in Economics and Computer Science. While at Fordham, Sean was also a student-athlete on the Division 1 varsity football team. Along with his student-athlete obligations Sean was active in the New York community, serving as the Community Service Coordinator for Fordham’s Student Athlete Advisory Committee in the Bronx. 

Sean’s experience in New York consisted of excelling in technical courses while developing prominent interpersonal communication skills. While leading teams of peers in and out of the classroom, he identified a passion for the intersection of data-driven decision making and project management. He is most attracted to the ability analytics has to improve the decision making process, and blending that with efficient leadership. During his final year of undergraduate studies, Sean identified he wanted to further hone his analytical skills through graduate-level studies. Promptly after Fordham graduation, Sean was accepted into the MSBA program at UCLA.

Sean has experience working with impactful organizations, such as New York Supreme Court Justice Robert Holdman. Under Judge Holdmans mentorship, Sean refined both his curiosity and determination as he was in an environment with elite decision makers and professionals. 

His undergraduate studies paired with his internship and off-campus experiences allowed him to see the connection between data science concepts and practical applications in the business world. This intersection of technical insights and business acumen is what drove him to strengthen his technical skills at UCLA Anderson.

Sean is excited to broaden his technical capabilities through his courseload in the MSBA program, as well as learn from his network of classmates and program alumni. Sean recently joined UCLA Anderson’s Strategy and Operations Management Association (SOMA), and is excited to continue to grow his network at Anderson.

In tandem with his studies, Sean is continuing his athletic career here at UCLA as a member of the Division 1 varsity football team. He is the first varsity athlete to be in UCLA Anderson’s MSBA program. 

Sean is particularly interested in his Machine Learning and Database Management courses as he sees them blending technical skills with business application. He is excited to put the expertise he has amassed through coursework to use in product management, strategy operations, and other roles in similar fields.

One of Shangran Gao’s greatest accomplishments in life is that she only spent two and half years completing her undergraduate major in Business Management and a minor in Technological Systems Management at Stony Brook University. She has benefited greatly from this intensive studying of Business Management and saved time so that she could pursue graduate study and get an edge along her career journey. In order to explore the practical application of data analysis, Shangran interned at HSBC as Assistant Relationship Manager to prepare financial and cost analysis and profit evaluation reports to reduce fraud by 35% and loosened the guidelines to attract more customers. She also gained experience by participating in data analytics projects and competitions such as Adobe Analytics Challenge, Amazon Hackathon, and MediaData Analytics Project. She worked with a Chinese media company and used Python to collect data on popular TikTok accounts, identified best practices of account operation after reviewing data from over 20 social media accounts, and created and presented a visualization report using Matplotlib and pandas to show top video categories for successful Tik Tokers. 

Passionately throwing herself into the whole process further intensified her in-depth understanding of data analysis, including data collection, data preprocessing, data visualization, and modeling. Shangran decided to join the UCLA Master of Science in Business Analytics program with a Merit Fellowship, she has learned advanced SQL, Python, R, and Machine Learning. Given her goal is to interpret the data into something more meaningful for business decisions making, she yearns for developing critical and innovative thinking to maximize the value of the data.

I am a first-year graduate student at the UCLA MSBA (Master of Business Analytics) program. After receiving my bachelor’s degree in Applied Mathematics and Statistics from the same institution, I see my interest grow in the field of data analytics and product management and I am eager to explore my potential in this ever-changing full of data.

My internship experience at larger institutions, including Genesis E-commerce and Tencent, has provided me with business analytics skills that work for companies of any size, and my education at UCLA has equipped me with essential technical skills as well as business ethics and philosophies.

I am seeking opportunities in businesses that could be more successful with analytics and product management. After graduation, I hope my skills and passion can help me and my company grow in a corporate environment.

Sherry graduated from the University of Southern California with a degree in Accounting and went on to work as a certified public accountant at Ernst & Young for 4 years. During that time, she discovered her interest in data transformation and visualization. This experience also gave her much-needed exposure to a wide variety of industries, including but not limited to entertainment studios, retail consumer products, and real estate. 

At UCLA Anderson, Sherry is working to develop her technical skills, from proficiency in many different programming and database languages (Python, R, SQL), to data visualization and dashboarding tools (Excel, Tableau), as well as analytical skills such as machine learning, statistical modeling, and A/B testing. She is eager to embrace this increasingly data-centric world with the skills she has honed and developed at UCLA. 

Shubham Gupta graduated from BITS Pilani in 2019 with a Bachelor’s degree in Chemical Engineering and a minor in Finance. He founded himself drawn to analytics from the start of his career and spearheaded analytics initiatives at a consumer tech startup back in India called Zomato. He worked there for three years wearing different hats but essentially bridging the gap between data science and business development.

Shubham is innately curious to discover different psychological patterns of customers which make them interact with internet products. He has solved problems from experimentation to implementation, developing innovations that lead to multi-million dollar cost optimization at scale.

Shubham is beyond excited to be a part of the MSBA program at UCLA because of its unique positioning in academia and industry. It offers invaluable opportunities to break barriers between business and technology in a truly interdisciplinary setting.

Shubham also loves to travel and go on hiking. Apart from that, Shubham is a big foodie and loves to try out new dishes/cuisines.

Siting graduated from Pennsylvania State University in 2022 with two Bachelor’s degrees in Applied Statistics and Finance and a minor in Mathematics. Siting‘s intellectual curiosity toward data analytics originally stemmed from her personal experience. As an active social media user, Siting has always been intrigued by the roaring followers on her social media account. Since then, she started to contemplate the technical principles through which social media foresees people's preferences, makes recommendations, and shapes user behaviors.
Prior to joining the MSBA program at UCLA Anderson, Siting had three analytics internship experiences in the consulting, financial, and tech industries. All these experiences enhanced her various field knowledge and analytical skills. Her passion is to leverage her skillsets to solve complex problems and transform data into business insights and strategies for businesses to help them make better decisions. 
After joining the MSBA program, Siting participated in two analytics competitions - Amazon Datathon and Humana Healthcare Analytics Competition - where she demonstrated her strong technical skills and ML techniques. Siting has found the Machine Learning and Prescriptive Models courses exciting and can’t wait to apply this knowledge in a data science or analytics role upon graduation. 

Siying graduated from the University of Washington, Seattle in 2022 with a B.A. in Econometrics and Quantitative Economics, along with two minors in business and entrepreneurship. She stands as a candidate with strong business insights and analytics skills. Not only is she is passionate about business acumen and data analytics techniques and statistical models, but she is capable of applying such concepts to solve complex business problems.

As a marketing analyst intern at NielsenIQ, Siying developed her interest in business analytics as she helped clients to analyze monthly sales report. She also identified root causes of the sales fluctuation of products. Following this experience, she joined Accenture as a strategy & consulting intern where she nurtured her consulting mindset and further developed her storytelling skills. These experiences motivated her to seek continued education through UCLA Anderson’s MSBA program to advance her technical skills and business insights.

As an entrepreneur, Siying has had two start-up experiences in the pet industry. She has contributed as marketing manager for Toasty Pets, where she was responsible for analyzing market entry opportunities for the company’s product and analyzed customer behavior to further establish better marketing strategies. 

Given her interest in business analytics and product management, she envisions herself working professionally in Tech, Entertainment, and FMCG as a business analyst or product analyst following her graduation from MSBA. She is looking forward to applying analytical techniques learned from the program to help companies make better data-driven decisions.

Sreeroopa, or Roopa, Som is an aspiring technology and operations leader. Her passion for enabling tech transformations in organizations starts with her interest and genuine care in understanding the operations behind a business, and where and how to intervene with insights generated from analyzing historical data. Roopa is known for recommending solutions that prioritize and positively impact stakeholders and for ensuring their successful implementation by rolling up her sleeves to get the job done. 

Roopa is a current first-year graduate student at the UCLA Anderson School of Management in the Master of Science of Business Analytics program (MSBA) and a Merit Fellowship recipient. Her favorite courses in the MSBA program are Machine Learning and programming in R because they have helped her solidify her statistics and mathematical computation fundamentals. Prior to UCLA MSBA, Roopa was an Operations Analyst and eventually the Operations Lead, managing work across recruiters, marketers, overseas sourcers, and product developers, at an AI-enabled technical recruiting startup. She also holds a BS degree in Management Science and Engineering and a Minor in Music from Stanford University. 

Outside of class, you can probably find Roopa walking her dogs, playing the piano, or learning how to surf. 

Srimeghana graduated from GITAM University, India, with a Bachelor of Technology Computer Science and Engineering in June 2022. She's been in various leadership and marketing roles in student clubs throughout her four years of undergrad.

She adores problem-solving and puzzles. It often leads her to want to put pieces together. Doing a fellowship in the non-profit sector showed her how much impact one can create when one decodes the message behind data. So, here she is, pursuing her Master's in Business Analytics at UCLA Anderson School of Management as an Anderson merit fellowship recipient. 

She's got experience with Python, SQL, and Data Visualization through internships during her undergrad. She plans on telling stories and solving puzzles by analyzing a business with the correct tools and asking the right questions by combining data and her new skills from the MSBA program.

Sunia is a class of 2023 MSBA student at UCLA Anderson School of Management with a career inspiration to be a versatile leader in disruptive industries to make a tangible business and social impact. Currently, she works as a Finance and Strategy Intern at Axiom Climate, an all-board women's entrepreneurial ClimateTech startup, supporting business strategy and financial analysis through deep-dive due diligence on investment opportunities and compelling data analysis for board members and VC investors. 

Before the MSBA program, she worked as a Staff Financial Analyst within the finance department at Allstate with 3 years+ of corporate finance experience, where she oversaw countrywide property product line financial results. She leveraged her expertise not only in analyzing financial results but also in developing compelling storylines that deepen internal client insights and recommend creative actions to drive more profitable market share growth. In addition, she is dedicated to streamlining and redesigning the FP&A process to foster forward-looking capacities. Beyond graduation, she looks forward to developing tangible business solutions for businesses to thrive in the increasingly digitalized world by leveraging the advanced analytics expertise that she acquired in the MSBA program.

Graduated with a BS degree in Mathematics from the Ohio State University in 2019, she has built a strong quantitative foundation, critical thinking ability, innovative problem-solving, and data visualization skills. Out of schoolwork, she was the president of the Math to Industry club of the Math Department at Ohio State University, building liaisons with firms and maintaining alumni relationships for inspiring math students. To continue improving her leadership skills after joining Allstate, she took responsibility for the new analyst onboarding process and served as a peer leader in various projects. Aside from that, she also co-led the Diversity, Equity, and Inclusion council within Allstate's finance department to become an advocate for social equity and led several philanthropy consulting projects at Allstate Foundation.

Suprita is a passionate data scientist with professional experience in finance, manufacturing, IT & energy industries. She is interested in deriving real-world insights from data and assisting companies in solving business problems.

Suprita graduated from Delhi Technological University with a bachelor’s in Electrical Engineering. She was always in the top 10% of students academically and took up data-driven electives such as Big Data Analytics & DBMS to broaden her knowledge base. She even developed a program to detect damping percentages in electric signals using ML algorithms and presented a research paper based on it at an International Conference.

After attaining her degree, she joined PricewaterhouseCoopers (PwC) as Technology Consultant. She assisted fortune 500 companies in saving valuable resources by leveraging the power of data analytics in the form of predictive analytics, optimization, and standardization. She is a skilled programmer with expertise in Python, SQL & R and leverages applications such as PowerBI & Microsoft tools to present actionable insights.

She is currently pursuing her Master of Science in Business Analytics at UCLA Anderson to improve her analytical skills by understanding real-world data sets and learning to implement data-driven algorithms to generate insights. Post her master's, she is looking forward to putting her passion for data and technology to solve real-world problems.

A passionate Data Scientist who is looking for challenging projects to utilize machine learning and programming to solve complex and ambiguous business problems. My motto is "Don't be a product of your environment, make your environment a product of you". 

Currently pursuing a Master of Science in Business Analytics from UCLA Anderson and graduated with an undergraduate degree in engineering and computer science. I love programming, data, and solving complex problems. I have always endeavored to combine these interests and have over a year of work experience doing just that in the beer industry, where I worked on several  

interesting projects in the domains of revenue management and sales intelligence. 

Skills: 

• Python (Pandas, NumPy, Matplotlib, Scikit-learn, Keras-TensorFlow, Statsmodels), R (dplyr,  ggplot2, caret), C++, SQL (MySQL, MS SQL) 

• Machine Learning, Deep Learning, Predictive Analytics, Segmentation/Clustering, A/B testing, Causal Inference, Forecasting/Time series, Automation, Optimization, Product Management, Consulting, Strategy

Tiger Wang graduated from Northwestern University in 2020 with a double degree in Statistics and Economics. During his time there, his coursework included high-level data science & econometrics classes, where he achieved a deep understanding of analytical techniques and applications. Additionally, he immersed himself in the theoretical side, excelling in advanced probability, statistics, and microeconomic courses.

Upon graduation, he worked as a Marketing Analyst for SteelSeries in Chicago. He was responsible for database management of syndicated sales data, new product development, as well as evaluating market fit and sales potential of new products. Tiger was able to develop his analytical skills in R, Microsoft Excel, SQL, in addition to spearheading SteelSeries’ first Tableau dashboard, now utilized across the company for demand planning and strategy.

Now in the MSBA program, Tiger is further expanding his analytics toolbox. Particularly excited about advanced Machine Learning, Prescriptive Modelling, and Optimization coursework, Tiger hopes to translate these concepts into deriving real, applicable insights for businesses and companies. Tiger envisions himself making a difference through data science during his 2023 summer internship and after graduation.

Ting-Yu is a highly innovative and strategic Business and Data Analyst with 5+ years’ experience leveraging data to derive insights that drive business and product strategy in technology and retail industries in international environments. 

Graduated with a B.A. in Economics from National Chengchi University, Ting-Yu has developed analytical and critical thinking skills along with her interests in business strategy. With the abundance of fascinating experiences analyzing open data through internships and projects, she was motivated to consolidate her economics background with a greater understanding of data analysis and the usage of statistical tools.

For the past five years, Ting-Yu has been working as a Product Manager and Senior Engineer at ASUS. Managed product development with commercial PC and SBC to optimize resources, conducted quantitative and qualitative market analysis to drive product strategy, and coordinated with cross-functional teams for milestone delivery, she has established solid skills in organization of data and in communication of insights to stakeholders. 

Overall, her work at ASUS has allowed her to exploit her background in macro thinking and economic analysis with the practical experience that she has in the technological and retail industry. The experience has enlightened her to the opportunities that a career in data analysis can unlock especially in this complex world that is literally run by data.

Through Anderson’s MSBA program, Ting-Yu has further expanded her knowledge in Machine Learning, Data Management, Optimization, and Prescriptive Models. What excites her more is the great opportunities to engage in diverse analytics projects in teams to tackle real business challenges and to communicate actionable insights using data.

Combining the rigorous training from Anderson’s MSBA program with practical industry experiences, Ting-Yu is looking forward to applying the techniques she has learned and exploring untapped possibilities of data during her summer internship and in future career.

Trung graduated with his B.S. in Computer Science from the University of Utah in June 2018. During his undergraduate, he developed his knowledge and honed his skills in software development, Natural Language Processing, Data Mining, and Machine Learning. He was also actively involved in developing inclusion within the CS community in Salt Lake City. He worked to launch Utah’s largest hackathon, HackTheU, which attracted talent to the Silicon Slopes area.

After graduation, Trung accepted a position as a Full Stack Software Engineer at Teaching and Learning Technologies at the University of Utah. He eventually came to lead the software development team at University Connected Learning, a merger of several technology divisions at the University of Utah. Trung has led a wide variety of projects spanning full-stack web applications, middleware integrations between systems, and complex data visualizations to server infrastructure, dev ops CI/CD pipeline, and embedded systems.

Trung believes in effective data-backed decision making and visualizations that extend beyond scatterplots and barcharts. He hopes to expand his knowledge in these areas through the Machine Learning and Data Storytelling courses at Anderson.

Vishaal is from Pune, India, and graduated with a Bachelor's in Technology degree in Computer Engineering in 2022 from the College of Engineering, Pune. During his time there, he gained strong foundations through courses in database management systems, probability, statistics, and data analytics which developed an interest in pursuing a career in analytics through various projects. Vishaal developed a stock prediction application using sentiment analysis for Credit Suisse, allowing users to compare the financial instruments of companies. He analyzed existing healthcare systems to propose a blockchain-based patient data management system using Hyperledger Fabric that enabled doctors to maintain sensitive data while enhancing data integrity and interoperability of electronic health records. These experiences, coupled with Vishaal's curiosity in understanding how soccer franchises scouted players, formulated game plans, and improved profitability catalyzed his decision to pursue business analytics. He gathered that businesses needed a healthy blend of technical skills, business acumen, and leadership to make decisions. Business Analytics perfectly intersects these and sums up Vishaal's career goals. He aspires to use his degree to identify patterns in data, predict trends and drive strategy by providing insightful recommendations. At UCLA Anderson, Vishaal is picking up essential skills and understanding their application in business contexts, strengthening his profile. He is interested in using predictive analytics and forecasting to identify avenues to help his company stand out from the competition and is excited to use competitor and customer analytics to identify new customers, increase their lifetime value, and deliver customized solutions to enhance client profitability. Vishaal is seeking Business Analyst, Data Analyst, and Business Intelligence roles in the future. He spends his leisure time following soccer, cricket, and Formula 1 and watching movies or shows. He also enjoys traveling and exploring new places.

Xinhui graduated from UCLA in March 2022 with a Bachelor’s double degree in Economics and Psychology. She then entered the UCLA Anderson MSBA program as a proud double bruin.

Xinhui has gained her vision in today's business market and has developed her strength in data implementations through multiple internship experiences. She has a diverse professional background, including investment banking, tech firm, real estate, and digital marketing. Her most recent internship was with TikTok as a Marketing Analyst Intern. She has gained the skills of implementing data analytics techniques into real business problems and has strongly improved her data storytelling skills in the process.

In the MSBA program, Xinhui systematically learned the implementation of data management, machine learning, and multiple essential technical skills, which greatly prepared her to solve business problems in her future career. Xinhui strongly believes in solving problems efficiently and accurately. She is a team player, a problem solver, and a great listener. 

Rose Feng recently graduated from Emory University in 2022 with a major in Quantitative Sciences and a concentration in Economics. Her interest in data science and analytics started in an introductory R programming course during her freshman year where she saw how data could make substantial differences and transformations on enterprises. She later interned at Intuit Mailchimp as a Customer Analytics Intern and Baidu as a Product Analyst Intern to gain hands-on experience in building predictive machine learning models with Python and conducting cluster analysis with SQL and R to increase user engagement and attract new users. 

Rose is now pursuing a M.S. Business Analytics degree at UCLA Anderson School of Management. She has benefited greatly from the program where she has learned more about data management, machine learning algorithms, and inferential statistics. Rose is looking forward to starting her data-oriented career in the Technology and Entertainment industry. 

Karen graduated from Vassar College with a B.A. in Economics and correlate studies in Mathematics and Music Composition. She is passionate about applying analytical tools to solving real-world business problems, and she is also interested in providing solutions to humanitarian problems using data, which she experienced as a volunteer in a suicide prevention group in China. She was deeply inspired to witness how analytics can be applied to such diverse fields and quantify the seemingly unquantifiable factors. She aspired to explore more about this field through projects and tasks such as automating the credit-related decision-making process by building and testing multiple classification models or provisioning a recommendation system using NLP during Amazon Hackathon. Previously, Karen interned at Consulting companies like Roland Berger, where she enhanced her analytical skills while sharpening her business acumen in a variety of industries. Through the MSBA program, Karen is continuously enhancing her command of technical languages through Data Management and Data Science courses. While building her experience in Data Analytics and Machine Learning, she is always eager to push for more advancements.

Aside from her professional interests, Karen is fascinated by various genres of music, and her composition portfolio ranges widely from electronic music to orchestra pieces.

Karen is especially passionate about leveraging the knowledge and skills she accumulated from her Machine Learning courses in the field of data analytics in technology, media, and entertainment industries over her summer internship and upon graduation.

Yanye Chen is an enthusiastic data-oriented analytics practitioner with more than two years of experience in technical consulting that acquires a massive amount of data analysis to guide clients’ strategic moves. 

After graduating from Penn State with finance and journalism degrees, Yanye joined Deloitte Consulting as a business technology analyst. During two years of experience, she had the chance to explore different industries, including retail, banking, and big tech. With tactful communication skills and an excellent ability to retain new information, Yanye led a couple of analytics-based sub-projects, helped clients to improve operation processes, identify vulnerability priority, and straight-line data transformation procedures. 

Yanye is excited to be a part of the MSBA program to acquire more quantitative and technical skills through various courses, including data management, prescriptive models, etc. With systematic study in those fields and previous experience in consulting, Yanye is looking forward to enabling companies to be more data-driven and succeed in the long run. 

Yaqi graduated from the University of California, Berkeley in 2022 with a B.A. in Economics and the highest distinction in Dean’s honors. Yaqi’s undergraduate studies paved the way for her to build solid knowledge in mathematics and statistics and cultivate her passion for data analytics. Yaqi has a keen interest in leveraging data analytical tools to interpret the story behind data and deliver business insights with data-driven solutions. 

Prior to the UCLA MSBA program, Yaqi interned at Guangfa Bank and Accenture and was exposed to different industries. Through these experiences, Yaqi was able to see how data analytics played a vital role in presenting comprehensive insights and optimizing a business’s performance. By building the model to select optimal assets and testing assets’ qualifications, Yaqi fully utilized her analytical skills to discover investment opportunities and delivered her ideas to different stakeholders. As these experiences laid a foundation in data analytics, Yaqi is excited to be part of the MSBA community to continue sharpening her skillsets. 

Yaqi has learned a lot from the UCLA MSBA program. She has gained quantitative and analytical skills through coursework like Statistical Foundations, Data Management, and Machine Learning, and developed proficiency in multiple languages including SQL, Python and R. Yaqi is excited about courses like Customer Analytics and Operations Analytics and numerous activities like Industry Seminars and Business Analytics Symposium to further her understanding in transferring data insights into data-driven decisions in real-world settings.

Ashley’s passion lies at the intersection of data science and creativity. She graduated summa cum laude from Northwestern University with a double major in Statistics and Psychology in 2022, where she found her passion for analytics through a year-long project on audio features of music. Using R and Spotify API, she extracted and processed over 200K songs, conducted exploratory data analysis, produced visualizations, and built machine learning algorithms to distinguish music genres and predict the popularity of songs through their audio characteristics. Since then, Ashley has been leveraging analytics to explore creative topics and drive business impact. 

During her undergraduate years, Ashley spent her summers working as an intern in the technology and marketing research industries. As a data product intern at TikTok’s Data Cycling Center, she used SQL to sample videos for machine learning projects and determined needs for model iteration. She built dashboards to manage the progress of labeling projects in 23 markets and facilitated the global roll-out of TikTok Ads’ Brand Safety product. On top of her daily responsibilities, Ashley also initiated two experiments where she studied the relationship between the quality of labeled data and the performance of computer vision models with the goal of improving labeling efficiency. Her internship experiences allowed her to improve coding, research, and communication skills and devise data-driven strategy for real-world business problems.

Beyond the professional world, Ashley is an independent musician who has released six EPs and one full-length album. She works as a freelance lyricist who translates English lyrics to Mandarin for covers, participating in projects such as Coca-Cola and Disney commercials. Ashley is also a dancer and choreographer who has directed several stage pieces and concept videos for a large cast. Moreover, Ashley is a student leader in many fields- she served as the president of the multicultural sorority, Sigma Psi Zeta, and independently produced seven artists at Dillo Day, the largest student-run music festival in the nation. 

Ashley is excited to be a part of the MSBA Class of 2023. She is looking forward to learning from the world-class faculty as well as her talented peers. She hopes to further her skills in visualization, machine learning, and project management, and use analytics to create actionable insights in the business world. Ashley is actively searching for internship opportunities in summer 2023 as well as full time opportunities after graduation. 

Amelie describes herself as a creative problem solver and an active self-learner. She loves to challenge herself and thrives in fast-paced environments. She graduated from the University of Richmond with a major in Mathematical Economics and the honor of the most outstanding Economics student in the class. During past experiences, she always got fascinated by the power of data in creating innovative insights and informing actionable decision-making. Coming with a solid statistical background, Amelie joined UCLA MSBA to continuously sharpen her data science expertise. 

Amelie gained many professional experiences during her undergrad studies. She worked at NIO, a Chinese Electric Vehicle company, as a User Product data intern. She helped build customer portraits with Machine Learning models in Python and suggested personalized marketing content. She also worked at Dollaride, a start-up mobility company. She led a team of 3 to build a live automated dashboard in R from scratch, which later serves as a critical accelerator for partnerships’ decision-making. Past experiences have deepened Amelie’s interest in Customer Analytics and Product Analytics. She found it particularly exciting to understand customer behaviors with data-driven insights and thus optimize user experiences and product features. 

Now in the UCLA MSBA program, Amelie is most excited about Machine Learning for Decision Making and Customer Analytics coursework. Machine Learning for Decision Making sharpen her understanding of advanced models and their applications; Customer Analytics led her into the quantitative marketing domain, nourishing a deeper understanding of customer behaviors with hands-on experiences in industry applications. 

Amelie cannot wait to begin using her refined analytical skills to better understand customers and inform impactful decision-making in the real business world! 

To say that Yini loves data analytics would be an understatement. The opportunity to unlock the value of data and create positive data-driven impact is the ultimate motivating force for her pursuit of data science. She believes in prioritizing human intelligence as a central tenet for applying analytics and machine learning creatively and responsibly. As she is sharpening her business acumen and technical capabilities through the MSBA program, she is excited to apply her analytics experience to not only create smarter analytical solutions for businesses but to also make machine learning algorithms more intuitive and explainable.

Prior to MSBA, Yini has four years of analytical experience in economic consulting, specializing in competition analysis, and one year in technology market forecast at International Data Corporation. She has real-world experience in developing in-depth data analysis and conducting statistical modeling using Python, R, and Stata. Moreover, she is a self-starter thriving on coming up with structured analytical solutions for ambiguous business problems. She also holds a Mathematics and Economics degree from Brandeis University.

When she is not playing with data, you can find her training for her upcoming half marathon, exploring the vegan version of her favorite food, or playing board games with friends.

Sia is a self-driven, passionate problem solver with an outgoing personality. She graduated from University of California, Irvine with a Bachelor’s degree in Business Economics and a minor in Accounting, which has equipped her with a sound business analytics background. She has taken a broad multitude of relevant finance, statistics and management courses. Through rigorous studies, she has fostered a solid quantitative background to further develop her business analysis and mathematical reasoning. 

During her undergraduate education, she had several summer internships where she worked in some challenging positions at top service companies like Barclays, Citibank and Ernst & Young. Her experience as a project investment assistant and risk management consultant not only strengthened her application of theories, but also improved her interpersonal skills. She applied various visualization techniques and data-driven solutions to many complicated business scenarios, and she was eager to learn from her mentor and her peers through her strong communication skills. 

Outside of the professional realm, Sia is both a great leader and an active team player. Sia is an experienced Jazz Funk and K-pop dancer, and she has been on two dance teams for three years. She was not only a responsible member of the board, but also a dynamic team member. 

At UCLA MSBA, Sia is constantly inspired by her faculty members and her peers. She looks forward to further developing her competencies in data storytelling and translating business needs into more advanced quantitative methods. She also aspires to build more profound relationships with peers.

Zoe earned a Bachelor of Science in Economics and Accounting from UCSB. She has spent the last three years working as an intern for many of the top professional services firms in the world, including Accenture and KPMG, where she honed her analytical, interpersonal, and leadership abilities. Zoe learned about the RPA project while she was an intern at Accenture, and it opened her eyes to the growing possibilities of robotic process automation in a variety of business application settings, including insurance, finance, and accounting. Zoe feels obligated to upgrade my technical skill set with analytical and programming abilities to ensure her competitiveness in the quickly evolving business world because she is aware that traditional jobs like accountants or bank tellers may eventually be replaced by cutting-edge technology like robotics and artificial intelligence.

The practical field of business analytics will be a natural extension of Zoe’s previous training in economics and accounting. After uncovering my talent in dealing with numbers, Zoe started to expand her analytical toolkit by participating in more data-centric projects and courses. When encountering R language in the Economics Data Wrangling course, Zoe was intrigued by this powerful tool that helped her transform massive information into a visualized chart with a lucid interpretation of trends, correlations, and predictions. Zoe has widely integrated analytics tools into solving real-world internship challenges.

The Machine Learning Project in UCLA MSBA program was an unique experience for Zoe to deal with real-world data and solve industrial challenges. The unparalleled industrial partnerships and connections available from the UCLA Anderson platform also are valuable networking resources for Zoe's future career. At UCLA, Zoe was excited to get involved in the frontier practice in the intersection of business and data science and leave lasting impacts on Zoe's future industry by providing data-centric insights and innovatively solving business challenges.

Coming back to UCLA as a double Bruin, Evelyn is pursuing her Master of Science in Business Analytics (MSBA) at the Anderson School of Management. Before joining the MSBA program, Evelyn worked at PwC for 5 years, where she led teams to support many financial services clients and developed her passion for data-driven problem-solving. Through the MSBA program, Evelyn continues to hone her SQL & Python skills and is seeking opportunities to apply her data analytic skills. She participated in the 2022 Humana-Mays Case Competition, where she used machine learning in predictive modeling to help identify Humana members who are at risk of facing housing insecurity and provide business recommendations. She is looking forward to future quarters of analytic coursework and is excited to explore the creativity of data analytics.

James has three years of experience working with data in financial institutions. Currently, he is a Master of Science in Business Analytics student at UCLA Anderson School of Management.

During his undergraduate studies, James developed a strong technical background and acquired practical skill sets to analyze data with business and context. By the time he graduated, James was ready to take his skills and passion into solving more complex and intriguing real-world problems.

The program helped James in training programming tools like R, Python, SQL, machine learning for decision making, statistical modeling, and quantitative analysis. At UCLA MSBA program, James escalated his analytics skills to a next level and developed a deeper understanding of how data drives business decisions. Combining his background in mathematics/computer science with communication/presentation skills, James is an excellent data storyteller. James is looking forward to applying the techniques learned from the program to facilitate entrepreneurial outperformance with data-driven analytics.

Yufie Liu graduated with distinction from UC Berkeley in 2020 majoring in Economics. During her college years, she took multiple internships and acquired hands-on experiences in different financial industries including investment banking, asset management, and accounting. 

Post graduation, she worked as an auditor at Ernst & Young in San Francisco. She worked on the IPO process of a fintech client of the company; throughout the process, she gained a solid understanding of financial statement analysis and auditing scopes, and also had the chance to practice a large amount of data analytics on the transaction samples of the client. During her two years at Ernst & Young, Yufie also contributed significantly to the testing process of  a pioneering data analytics program launched by the company, which was later used across the company to analyze full client datasets and identify potential audit risks. 

It is from this work experience that Yufie discovered her interest in applying data analytics in business contexts, and got motivated to continue exploring the topic of intertwining data analytics and financial information to make a difference in today’s business industry. With her background and interest in finance and data analytics, Yufie envisions herself applying what she learned from MSBA as a data analyst in the Finance or Tech industry in the summer of 2023 and upon graduation. 

Marilyn is a go-getter who turned her competitive spirit into a drive for continuous improvement. An ever curious and ever learning individual, she seeks to challenge norms and help companies unlock hidden potential. She is particularly interested in harnessing the power of data and analytics to develop new business strategies.

A firm believer in lifelong learning, Marilyn enjoys reading up on different areas of expertise. She believes that cross disciplinary learning is the key to creativity and has been cultivating that in her work. She has also been a strong advocate of lifelong learning and has been featured in her workplace’s learning development podcast series and companywide newsletter to share on the matter.

In her work, Marilyn is a skilled data analyst with a proven ability to tackle complex business problems. Marilyn has demonstrated her effectiveness through automation solutions, which has significantly reduced the manual hours required for regular reporting. She has also implemented risk detection frameworks for timely risk curtailment. 

Marilyn graduated with a Bachelor of Accountancy from Nanyang Technological University in Singapore. She is currently pursuing a Master of Science in Business Analytics at UCLA Anderson School of Management. The program has enhanced the technical toolset she is able to wield, and she is ready to use her leveled up skills to uncover new business opportunities.

Outside of academics, Marilyn’s deep passion to connect data analytics with operation strategy compelled her to take on a Director position in UCLA Anderson’s Strategy and Operations Management Association (SOMA). Her desire is to help analytics majors understand the strategic significance of their work and discover how they can offer their best value in their workplace.