Master of Science in Business Analytics

Arpit Arun Dhobale

Arpit graduated from the Indian Institute of Technology (IIT) Guwahati
with a Bachelor’s degree in Civil Engineering. As an undergraduate, he
took part in various club activities on the campus. He was a core team
member of the Consulting & Analytics Club of the school where he took
part in multiple data challenges and mentored his juniors who aspired to
break into the field of Analytics. He also credits his overall personality
development to the sport of Cricket which taught him a lot about key
values like resiliency, leadership, and perseverance.

During his time as an undergraduate student, he did multiple internships
during the summer breaks to supplement his knowledge. As a Data
Analyst at OYO Rooms, he engineered tactics like finding correlations
between the parameters that greatly affected the hotel usage rate and
optimized room prices for low performing hotels using Business
Intelligence and Data Analytics techniques. He also spent his summer as a
Machine Learning Intern at Saint Joseph’s University where he worked on
a social project aimed at assisting a non-profit organization to accurately
identify the most impoverished students from their personal data using
unsupervised learning algorithms.

After graduating, he joined as a Data Science Consultant at EXL Service.
He was working for a Fortune 50 client to identify the risky customers who
were more prone to defaulting on their credit cards. He was exposed to R,
SQL, and SAS during his tenure at EXL Service but he felt like he needed
to learn more in-depth about the field of Analytics and therefore chose to
pursue his masters at UCLA Anderson’s MSBA program.

The MSBA program is proving to be a very important phase of Arpit’s
career as he is learning new techniques and concepts regularly. During
this program, he has found the Customer Analytics and Competitive
Analytics Courses especially exciting. He is looking forward to applying the
knowledge learned during the program to help organizations boost their
businesses with the help of cutting-edge analytics techniques.

Ash Chen

Ash graduated from University of Illinois at Urbana-Champaign with dual degrees in Accountancy and Finance. During his undergraduate career, Ash interned in both the private equity and manufacturing industries. Outside of his studies and coursework, Ash was involved as a senior consultant at Illinois Business Consulting, the nation’s largest student-run, professionally managed consulting organization. He first discovered his passion for data analytics after applying analytical tools to solve a client’s bottleneck issue during one of his projects.

Since joining the MSBA Class of 2020, Ash has enjoyed the tight-knit and supportive atmosphere of the cohort. Operational Analytics and Customer Analytics are 2 of his favorite courses in the program. These courses equip its students with unique, practical skills that are extremely relevant to the industry. With his new skillset, Ash hopes to leverage both his analytical toolkit and business acumen to provide stakeholders with data-backed and actionable recommendations.

Avika Lumveerakul

After graduating with a Bachelor’s Degree in Information and Communication Engineering, Avika started my early career at PricewaterhouseCoopers Consulting, providing consultancy services such as Project Management and Systems Implementation to Financial Industry.

Data has always been the greatest passion of Avika. After a year of consulting experience, she decided to join Lazada group, the largest E-Commerce in SEA acquired by Alibaba where she has been given opportunities to interact with data to help businesses answer all the big questions and implement suitable marketing solutions, primarily on CRM. She has then decided to join Facebook as an automation specialist where she leveraged data to identify fraud issues on Facebook and Instagram, and created scalable solutions that impacted lives of millions across the globe.

Avika has found machine learning class and prescriptive modeling class extremely knowledgeable and relevant to the internet industry where her primary interest lies. She is looking forward to applying her learnings from MSBA in her role as Data Analytics Intern at Intuit this summer.

Bei Ye

Bei graduated from New York University in 2019 with a B.A. in Economics and Mathematics. Passionate about business problem-solving and eager to explore interdisciplinary applications of economic and quantitative analysis, Bei joined UCLA MSBA 2020 cohort. Prior to MSBA, she gained industry experience from interning at Nielsen, where she used data analytics and storytelling to uncover market trends and insights, and at Tencent, where she honed her business acumen working on product management for a big data application project. 

At MSBA, Bei is especially excited about her Optimization, Prescriptive Models and Competitive Analytics courses, as they introduced real-world use cases of data analytics in combination with advanced econometric and game-theoretic tools. Besides, she is extremely grateful for course offerings such as Database Management and Industry Seminars, from which she acquired brand new sets of knowledge that would be tremendously helpful in her future career as a data analyst. 

Going forward, Bei is excited about leveraging the data analytics techniques she learned from MSBA to enable companies to make better strategic decisions.

Ben Chen

Ben graduated from UCLA with a Bachelor’s degree in Applied Mathematics. After graduation, he worked as a data analyst in the eCommerce industry for more than 2 years. On a daily basis, he provided a high-level overview to senior management on the competitive strategies on the company’s main marketplaces. He also created profit reports and designed new procedures to optimize pricing for tens of thousands of items that sell across multiple platforms. Through daily data collection, cleaning, modeling, visualization and reporting, Ben has firmed his whole point of view of how data and analytics could be so influential when guiding business decisions.

Ben joined UCLA Anderson in 2019 to learn more advanced data science knowledge to advance his career. During his graduate school study, Ben found Data Management, Customer Analytics and Operations Analytics courses extremely helpful. Ben is fully prepared to use the machine learning knowledge and hard coding skills learned in these courses to better serve the business.

Moving forward, Ben will be working as a product analytics intern at Walmart eCommerce this coming summer to help deliver product solutions to the future form of shopping.

Boyu Meng

Boyu is an experienced analyst with a demonstrated history of working in the financial services industry. He is currently pursuing a master degree in data analytics at Anderson UCLA. Boyu is a data-driven and an insightful individual who is passionate about business analytics.

Bryan Kar Syn Ho

Bryan graduated from the University of Hong Kong (HKU) with a Bachelor’s degree in Economics and Finance. After a short stint in the financial industry, Bryan ventured into the tech industry, where data analytics was an integral part of his daily work. He was a part of the team that launched Uber’s food delivery business in Hong Kong, and subsequently covered Sales Operations for the North Asia region. Prior to joining the MSBA program, he worked in Facebook’s Business Integrity Team covering the Greater China Region.

Bryan joined the MSBA program to enhance his skill sets in data analytics, and he has not only strengthened his skills in programming languages such as SQL, Python and R, but also advanced analytics topics such as machine learning modelling, prescriptive analytics and competitive analytics. 

This summer, Bryan will join LinkedIn as a Data Science Intern, where he will utilize the data analytics skills he acquired in the MSBA program to optimize LinkedIn’s products.

Chun-Ta (Michael) Lin

Michael has a strong passion for utilizing data to discover business opportunities. During his undergraduate study in Statistics, he had exposed himself to data analysis and technical skills to prepare him for the environment surrounded by data. As soon as he completed his military service, he joined a fintech company as a financial data analyst, where he used data analysis and data visualization to assist the company in decision making. His daily work included using SQL and other data analysis tools to provide data-driven solutions and monitor risk in financial product design.

Studying at UCLA Anderson is an important journey for Michael. Throughout the MSBA program, he acquires advanced business analytics skills by conducting analysis projects, such as machine learning projects and dashboard analysis projects, and taking courses, such as Customer Analytics and Prescriptive Models. Every day he learns new knowledge and he is looking forward to learning more about combining data analysis with industry knowledge to bring innovative solutions to the company.

During his study at UCLA Anderson, Michael has found himself surrounded by opportunities, and he is contributing to the local LA community by conducting analysis projects to assist local airports. Besides academics, he also spends time going to the gym to exercise and cook delicious meals to enjoy life.

Chunyue (Erin) Kan

Erin graduated from the Hong Kong University of Science and Technology with a B.B.A in Information Systems and minor in Mathematics. She went on an exchange program to Carnegie Mellon University in her junior year. Erin is passionate about leveraging data analytical techniques to identify business opportunities and deliver insights to drive strategic decision-making for clients.

She believes data analytics is not just running fancy models, it's understanding challenges faced to the client and being able to transform programming languages into business insights. The 6-month internship at HSBC gave her exposure to diverse business scenarios and a chance to deep dive into customer analytics. Erin got her hands dirty playing with data, gained practical experience working on multiple optimization projects and developed persuasive communication skills through interactions with the team and clients. During Erin's undergraduate study, she spent a whole summer delving into a research project about Bitcoin Text Analysis. She applied regression analysis, sentiment analysis along with topic modeling to break down this entire project which yielded interesting findings.

MSBA program at UCLA Anderson is so dynamic and transformative as the program executives work closely with the cohort to reshape the curriculum and upgrade career services year over year to make sure they pivot to the market needs. The Python bootcamp along with the application of R and SQL embedded in multiple courses helped hone her analytical skills while give her an in-depth understanding of state-of-the-art data techniques. Erin is especially obsessed with Operations Analytics coursework where she gained hands-on experience navigating through supervised and unsupervised learning as well as optimization problems arising in operations. For the upcoming summer, Erin will commit herself to research projects that have been a topic of great interest. It is a real pleasure to be part of the MSBA Class of 2020.

Dou (Iris) Hu

Iris graduated from University of California, San Diego with a B.S. degree in Mathematics Joint Economics and a minor in Accounting. She is passionate about tackling data-driven problems and leveraging data to deliver business insights and improve business strategy.

Iris is skilled in data manipulation languages like Python, SQL and R. She got her feet wet on data analytics with her internship at GF Securities. There, she was responsible for a portfolio management analysis report and gained practical experience in data scraping, cleaning and analyzing. She utilized python to scrape financial data of companies from seven industries and conducted predictive and prescriptive analysis and market research. She successfully identified 21 stocks with satisfactory performances. In addition, she was able to communicate and convince clients with her story-telling skills using Tableau and helped manage portfolios with a value of $30M.

Iris knows data analytics is not merely creating models or playing with data, it is more about leveraging data to build insightful deliverables that solve open-ended business questions. Therefore, as Iris discovered her interest in data analytics and its future possibilities in multiple industries, she decided to move forward with a graduate study in Business Analytics at UCLA Anderson to lay a solid foundation.

Iris is excited to be part of the MSBA class of 2020. She enjoys the courses and the way professors teach here, and she found the Customer Analytics and Prescriptive Modeling courses extremely helpful. Iris is confident about her professional skills and cannot wait to apply them into real world scenarios.

Elisa (Cheng-Yi) Chang

Elisa is a proactive and detail-oriented data analytics practitioner. Fueled by a fundamental belief that data analytics can drive operational efficiency, identify future opportunities that could spark new growth and improve people’s lives, Elisa joined the Business Analytics program at Anderson to gain analytics training in business settings.

Prior to joining Anderson, Elisa earned a Business Administration Bachelor from National Taiwan University. After graduation, Elisa was product coordinator of Unilever and was responsible for customer analytics, marketing strategy and new product launch. As an analyst with business and marketing background, Elisa can efficiently turn business questions into an appropriately scoped research plan and provide actionable recommendations with consideration of cross function team’s objectives and feasibility.

During her time in the MSBA program, Elisa has enhanced her analytics skill sets in R and Python, built data visualization expertise in Tableau and gained knowledge on optimization and machine learning methods. Elisa is excited to be joining the PayPal Credit team as a Marketing Analytics intern this summer to apply her analytics skill on marketing campaign optimization and customer acquiring.

Eric Saleh

Eric distinguishes himself with wielding advanced analytical scholarship and expertise to enrich
his practiced abilities as a leader and creative. He launched his first entrepreneurial venture,
Circle for Roommates, in 2015 to deliver a safe, efficient, and mobile solution to the growing
burden of urban cohabitation. There he built and managed its acclaimed product team,
innovating its immersive map experience that attracted marquee real estate partners such as
Prime Residential Group. Eric also operated as Circle’s marketing principal, leveraging
algorithmic segmentation to optimize campaign targeting and prescriptive modeling to inform UX
strategy.

In 2019, Eric chose to enroll at UCLA Anderson’s MSBA program to develop a more polished,
formalized framework through which to deliver analytical solutions in business. There he has
deepened his technical ability: solidifying his foundation of core data science concepts while
learning how to employ the latest algorithms and techniques in a professional setting.

His growing command of causal inference and advanced customer analytics promises to unlock
exciting impact in his career as a product and growth leader. And in the summer of 2020, he is
thrilled to resume that professional journey with IBM’s Data & AI team as an Offering Manager.

Fanfei Li

Fanfei is a highly motivated and quick learning data scientist with a solid quantitative background. Fanfei freshly graduated from UCLA with a Bachelor’s degree in Applied Mathematics and a minor in Music Industry, before joining the UCLA MSBA program. She’s spent her undergraduate years interning in different industries working on data-driven projects including at life insurance companies, NGOs and music startups to explore her interests.  Fanfei gained a wide range of industry knowledge throughout her internship experiences, where she applied her analytics and data visualization techniques to business problems. These experiences sparked her interest in applying data science techniques to uncover actionable insights, especially in the tech and entertainment industry. 

The UCLA MSBA program has given Fanfei a chance to strengthen her programming skills using languages such as SQL, Python, and R, and also other advanced skills for academic and industrial applications such as data management, optimization, prescriptive analytics, customer analytics, and operations analytics.

Fanfei is looking forward to joining Amazon Web Services (AWS) this summer as a data engineer intern to apply what she learned in the MSBA program to exciting projects.

Francisco Valle

Francisco is passionate about using data to discover and deliver actionable insights for businesses. He graduated from Pontificia Universidad Catolica de Chile with a Bachelor’s in Industrial Engineering. He has always been interested in how companies work and the value creation process.

While working as a quality service analyst in the financial sector, he became excited about the customer journey and the way in which decisions impact clients. This led him to a position as product manager for a Japanese home and heating appliance company, Toyotomi , where he leveraged data to generate forecasts and determine the best product mix. In doing so, he realized the importance and power of data to improve business decisions. This led him to start his analytics journey to understand and apply better and advanced models by joining the MSBA program at UCLA.  

During his time in the program, he has greatly valued the opportunity to learn directly from leaders in high profile companies such as Disney, Microsoft, and Google who apply advanced analytics to solve business problems. In addition, he has been amazed by the great camaraderie among his classmates and teachers which has further enriched his learning experience. 

In his free time Francisco loves playing all types of sports and feels lucky to live in LA where the opportunities for outdoor sports are endless. He is an avid surfer, soccer player and mountain biker.

Hanwei Guo

Before joining the MSBA program, Hanwei earned his bachelor's in Applied Math and Economics at UC San Diego. As a highly motivated math student, Hanwei designed his undergraduate research in time series forecasting as part of his honor program. He also took internships at companies like Protiviti. As his interest in data science grew with more exposure to machine learning, Hanwei decided to move forward as a data scientist. 

Upon his graduation, Hanwei joined the MSBA program at UCLA Anderson. The MSBA program has given Hanwei many opportunities to work with insightful groups on meaningful projects. Through these experiences, Hanwei has learned about applying his machine learning knowledge to different areas, including marketing analytics, customer analytics, operation analytics, etc. In the future, Hanwei wishes to contribute to these areas.

Haoran Yuan

Haoran graduated from University of California, Los Angeles with a Bachelor’s degree in Mathematics and Economics in 2019. He is an outgoing, approachable, and highly motivated student. He has a strong interest in tech-oriented data analyst position for his future career.

During his undergraduate studies, Haoran spent most of his time in Mathematics field, and he worked hard to find more possibilities to become a mathematician in his earlier college year. In his junior year, he worked in University of Tokyo as a research assistant and explored inverse problems in industry mathematics field. During these three months, he surprisedly found how applied mathematics and data analytics had been taking the main stages in modern business and industries. Meanwhile, he found his strong interests in data science field, and he believed that it would be great to combine his mathematics skill with some more data science knowledge. Therefore, he decided to pursue a future data science related Master’s degree.

As a double bruin, Haoran is really excited to join Anderson community to complete his future career skillset. There are many reasons why he chose Masters in Business Analytics at UCLA Anderson. As a STEM program, MSBA can provide valuable trainings to break the traditional barrier between data science and pure business major. Furthermore, UCLA Anderson community is a precious asset for the future alumni careers. He is really excited become a part of 2020 cohort with such talented data analysts.

Haoran is really excited to learn more about prescriptive models, database management, and customer analytics in his upcoming quarter. He will also gain more career experience this summer working as a financial analyst intern in Shanghai. He is looking forward to sharpening his data analysis skill by working with real data to become a better data analyst.

Henry Yin

Henry graduated in 2019 from Wake Forest University with a major in Mathematical Business and a minor in Statistics. He quickly realized that in the 21st Century, data science was a logical next step after a solid foundation in statistics. At UCLA Anderson, Henry is excited to learn from a faculty that has years of industry expertise.

Henry believes that the wide variety of courses offered at UCLA Anderson every quarter helps him develop his analytical skills holistically. The two courses he absolutely loved were Business Fundamentals and Prescriptive Analytics. The first helped him orient himself to the way Business stakeholders think and the second made him realize the power of causal interpretation in a data-driven world. 

This summer, Henry will be joining City National Bank as a Model Validation Intern in the Credit Risk Management department to further strengthen his technical skills and accumulate practical real-world experience.

In his free time, Henry enjoys skateboarding and cooking traditional Chinese dishes.

Himanshu Chandra

Himanshu is a passionate data scientist with four years professional experience as Data Scientist and Product Analyst in the Telecom and Oil and Gas industry. Himanshu is focused in delivering insights and recommendations that impact the business in solving real world problems. After completing B.Tech in 2015  from Indian Institute of Technology Bombay, Himanshu joined Reliance Industries Limited in the Data Science team. He is a problem solver, quick thinker and skilled in multiple programming languages & Big data platforms. Himanshu also developed business acumen and market understanding of a product over the time.

Himanshu is a huge sports fan. He seeks opportunities to play sports in every situation. Cricket, football and badminton are among his favourite outdoor sports.  He represented the Institute cricket team at national level events in India. He is currently working on improving his chess game and always finds a window to play it regularly.

Himanshu is currently enrolled in the MSBA program at UCLA Anderson. Not only has he acquired technical skills to understand data driven algorithms, he has added skills in business understanding and impactful storytelling from raw data.. With his newly built skillset, Himanshu is super excited to put his passion for data and technology to better use and foster a truly data driven culture in real world businesses.

Hua Deng

Hua is an innovative problem-solver with strong analytical capabilities, passionate about utilizing advanced analytics to gain new knowledge, inspire actionable insights, and develop cutting-edge data science solutions. She graduated from Tsinghua University in June 2019 with a bachelor's degree in Economics and Finance, minor in Technology Innovation and Entrepreneurship. During the time, she found herself most interested in bringing technology innovations with data-driven approaches. Besides coursework, she was actively involved in Datathon, Hackathon and Case Competitions to keep challenging herself.

Hua gained a wide range of professional experience during her undergraduate studies. She started working as Part-time Assistant at BCG and McKinsey & Company. Then she interned at Apple with the Demand Forecasting and Analytics team, delivering an ad-hoc analysis on price elasticity, and introducing Tableau dashboards to eliminate redundant analytics work among teams. Afterwards, she turned to deal with a larger scale of data at "unicorn" internet companies, Didi and Kwai. At Didi, in its global expansion into Belo Horizonte, Brazil, she was fully involved in launching the Carpool product and scaling user growth from 0 to 20K. At Kwai, she collaborated with product teams to assess and revise features through A/B tests, and conducted Difference-in-Difference for causal inference. Her recommendations were translated into business actions and successes.

At the MSBA program, Hua is particularly excited about her Customer Analytics and Competitive Analytics coursework. Customer Analytics led her into the quantitative marketing domain with hands-on experience in industrial applications. Competitive Analytics instructed on causal inference methodologies which are widely used in tech companies. 

Hua is joining BCG GAMMA this summer as a Summer Data Scientist, during which she will be devoted to the BCG 2020 Social Impact Ambassador Program, bringing innovative data science solutions for social good.

Jewel (Ziwei) Zhu

Jewel is a logic driven and detail oriented person who has the passion for improving our society by utilizing data analytics. Jewel earned his Bachelor’s degree in Actuarial Mathematics from UCLA; through his undergraduate experience at UCLA, he became deeply interested in the field of data science which motivated him to pursue a Master’s degree in Business Analytics. 

Jewel has a solid foundation in mathematics and statistics, and he is proficient with performing sophisticated data analyses in R and Python. Coming from a mathematical background, Jewel always strives to ensure his models and interpretation are as rigorous as possible in order to deliver trustworthy results. He is eager to learn and apply new technologies. Jewel participated and won awards in some well-known data analytics competitions. In the SOA 2016 Student Case Challenge, Jewel led a team of five to conduct intensive background research on the U.S. healthcare industry. Utilizing his knowledge, he helped his team define future cost disruptors and applied advanced time-series applications to forecast U.S. healthcare spending. At the end of the competition, he received a certificate of excellence as one of the top fifty teams in the world.

At UCLA Anderson, Jewel further improved his technical and soft skills; he is ready to take on challenges ahead. 

Jiarun (Silvia) Zhang

Silvia graduated from University of Washington, Seattle with B.S. degrees in both Economics and Applied and Computational Mathematical Science in 2019. Having taken econometrics and data science courses taught by economists from both Amazon and Microsoft during her undergraduate studies, she realized the power of leveraging data in supporting business decisions. Also, in her previous experience providing consultative recommendations to a non-profit organization, she has demonstrated a strong ability to solve business problems in ambiguous settings with an analytical mind, like identifying the goals and constraints through interviews and giving reasonable suggestions through financial data analysis and mathematical modelling. It was when she found her interest and passion in using insights extracted from data to solve real-world problems. With the pursuit to learn more about business analytics, she joined UCLA Anderson’s MSBA program.

During her time at MSBA program, she has developed proficiency in multiple programming and database languages, data visualization platforms as well as big data tools. She also had decent experiences in data-storytelling for non-technical audiences in the data management course offered by the program. With both strong technical background and business sense, she not only provided data-driven solutions to complex problems but also worked cross-functionally within a team to smoothly execute the solutions. Besides that, Silvia also enjoyed courses like Prescriptive Modeling and Customer Analytics, and found them really useful for real-world applications.

Located in LA, Silvia also had the opportunities to explore around the city with her good appetite and SLR camera. She is glad to be one of the MSBA 2020 cohort, and very grateful to this platform with all types of resources. Silvia is looking forward to the rest of the program and her steps into the industry.

Jiayi Joy Li

Joy graduated from George Washington University in 2019 with a Bachelor’s degree in Finance and Business Analytics with a minor in Criminal Justice. During her undergraduate studies, she had experience in consulting, marketing, and finance. She is passionate about solving complex questions and brings her unique perspective to the table. Joy can leverage her technical acumen and business knowledge curiosity to unlock business needs and uncover opportunities.

Joy is proficient with advanced analytical tools such as Python, SQL and R to visualize data. She can analyze complex and open-ended questions to unlock business needs and convincingly communicate the data story to the team who count on their insights. When she worked at 17 Hua, she questioned the feasibility of introducing a skiing project and consolidated her hypothesis via market research, data analysis, and comparative analysis. She translated data into deliverable presentations to help decision-makers gain deeper insights.

With intensive training in a previous consulting role at Roland Berger Consulting Group, she built a market size model by segments to trace industry dynamics to calculate market capacity within a 10-year period and predicted genetic disease market size in 2025, predicting growth in 7 years. Joy was able to effectively communicate the results and data solutions in a clear and effective manner with stakeholders and the internal team. She is confident that she can support a multi-function team that comes up with customer insights.

Joy is honored to be a part of the 2020 MSBA cohort and has been continually refining her business acknowledgment and technical skills and continuing her journey with the 2020 MSBA cohort. She is always inspired to work with experiments to support decision making and make big impacts in her organization using data!

Lawrence Chen

Lawrence is a driven data scientist with a passion for data-driven decision making. Lawrence completed his Bachelor’s at Carnegie Mellon University in Statistics with a Minor in Business Administration. His coursework allowed him to develop a deep technical background while also learning how they can apply to different business functions. He has completed internships at Cisco, Palo Alto Networks, Salesforce, and Pure Storage working in data analyst roles across various teams. Throughout these positions, Lawrence has gained valuable industry experience working with SQL, Python, R, ETL tools, and a host of data visualization software. 

Having been exposed to a multitude of different teams and companies, Lawrence realized that there was much more he wanted to learn about data and how to utilize it to solve contemporary problems. As a result, after completing his undergraduate studies, he enrolled in UCLA Anderson’s Master of Science in Business Analytics program. Lawrence saw this as an opportunity to become more proficient quantitatively while further honing his business acumen. Currently, he is enjoying classes covering the topics of customer, competitive, and operations analytics. Lawrence is excited to apply the different machine learning and optimization techniques he is learning to challenges that face the industry today. 

This summer, Lawrence will be joining Facebook as a Data Scientist intern

Mengyu (Claire) Zhao

Naveed Malik

Naveed is a native to California having completed his undergraduate studies from UC Riverside in 2017 with a bachelor’s degree in Management Information Systems. He is currently a graduate student at UCLA Anderson, and an Anderson Merit Fellow.

Upon graduating, Naveed worked for a SaaS healthcare company, SaRA Health, as a data analyst. At SaRA he streamlined ETL processes for their analytics stack, created dashboards of relevant metrics, along with ad hoc work like researching prospective VC firms and developing a web scraper to automate lead generation. 

Naveed wanted to expand his technical expertise which prompted him to pursue a master’s degree in Business Analytics. During his tenure at UCLA Naveed has dedicated himself and amassed technical skills in statistics, data engineering, and machine learning which he is eager to apply in industry. His summer plans include a Data Science internship at Smartboost and a research position with Netgenix. Naveed aspires to work as a data scientist and then transition into a management role overseeing AutoML software. 

In his free time Naveed likes to stay fit playing basketball, training for marathons, and cooking new dishes. 

Pansul Bhatt

Pansul Bhatt graduated from Jaypee University of Information Technology with a B.Tech. in Computer Science in 2016. After graduation, he started his professional journey as a "Full Stack Engineer" at Hashedin Technologies, where he learnt to implement and cross-integrate software modules in all domains and attained specialized knowledge across all the stages of software development. After a few years, he started working as a Software Developer at Goldman Sachs. It was here that he was exposed to not only near time data-driven applications but also complex and dynamic business processes. As his interests grew, he started working on developing various specializations in data analytics and machine learning techniques.

Through his professional experiences and strong technical foundations, he started attaining key competencies to navigate and overcome real-world challenges and developing a macro sense of the business. After understanding the impact of data-driven technologies and analytical techniques, he realized their imperative use to resolve complex business problems and decided to pursue his Master’s in Business Analytics from UCLA. The MSBA program has allowed him to uniquely position himself in the market and has offered him a lot of learning opportunities from various industry leaders. During his Master’s, Pansul has been exposed to a lot of new techniques in machine learning, statistics and data analytics. 

This summer, Pansul will be joining IBM as a Cognitive Engineer Consultant (Data Scientist) intern, and he is very excited to apply whatever he has learnt so far in his internship.

Patrick De Guzman

After Patrick got his Bachelor’s in Accounting & Information Systems from Santa Clara University, he worked at Pricewaterhouse Coopers as an IT Consultant for about a year. During that time, he picked up some Python and Machine Learning skills to pivot his career into Analytics & Data Science. Patrick joined UCLA’s MSBA program to hone his analytics skillset and learn how to analytics in real-world business applications. 

Currently, Patrick focuses his studies on Machine Learning and Software/Data Engineering. He believes that it’s very important and useful for Analytics and Data Science Practitioners to have a strong foundation in Engineering, even when “Engineer” or “Developer” isn’t in their job titles.

Patrick has found his Machine Learning and Data Management courses especially useful for understanding not only how to develop interesting ML algorithms, but also what it takes to deploy one so people can actually use it. 

This summer, he’s very excited to join Intuit as a Business Data Analyst Intern. He is looking forward to applying what he has learned in the program to help Intuit deliver more value to its customers.

PedroPablo Arrese

Pedro Pablo is passionate about using data to generate actionable insights and crafting visualizations to tell a compelling story. He believes creating knowledge from raw data is a real-world superpower. Pedro Pablo completed his undergraduate degree in Industrial and Systems Engineering in Peru, where he enjoyed the courses related to programming, statistics, and operations. Thanks to a scholarship awarded by the Government of Canada, Pedro Pablo spent his last semester as an exchange student at the Memorial University of Newfoundland.  

Before coming to Anderson, Pedro Pablo worked five years in the telecom industry in Peru, where he leveraged data to deliver valuable insights and to design marketing campaigns to increase customer value and retention. In this environment, Pedro Pablo realized how the correct use of analytics definitely makes an impact on a business and saw first-hand how challenging it can be to explain your findings to someone who doesn’t understand analytics. These experiences motivated him to pursue a career in Business Analytics. While working full-time, Pedro Pablo also participated in “Proyéctate”, a social project that focuses on the empowerment of teenagers in a low-income district of Lima, Peru, where he developed his adaptability and leadership skills as the leader of the computer science program.

During the MSBA program, Pedro Pablo has improved his Python and R skills, while learning about machine learning and prescriptive models. He can’t wait to apply this knowledge in a marketing analytics role upon graduation. He wants to use his superpower to solve business problems, identify new opportunities and help businesses make better and more informed decisions.

In his spare time, Pedro Pablo loves watching TV shows and movies, discovering new places to eat, and every once in a while, traveling. 

Pranay Singla

Pranay took an unconventional path towards data and analytics. Although he was always fond of mathematics and statistics, he never imagined going into the world of data until very recently in his life. Pranay graduated from Maharaja Agrasen Institute of Technology, New Delhi, India with a bachelor’s degree in Information Technology in 2018. It was during his undergrad that he got to know about the growing field of data analytics. Being a huge sports fan, Pranay joined a sports website, FollowYourSport.com, as an analytics content writing intern. Intrigued by the capabilities of data analytics, Pranay organized and participated in various data related competitions during the final years of his undergrad.

To continue exploring his newfound interest, Pranay joined Mu Sigma, a data science consulting firm in Bengaluru, India after graduating in 2018. After 3 months of rigorous training on data tools like R, Python, SQL and learning how to apply machine learning on business problems, Pranay finally got a chance to work hands-on on a demand forecasting problem in a client facing role. During his time at Mu Sigma, he learned how to uncover insights from data which lead to actionable decisions and the importance of data storytelling. He believes one of the most important aspect of working in the analytics domain is to be able to convey the technical findings from data in a way that a non-technical audience would understand.

His time at Mu Sigma made him realize that he needs a good foundation of business and machine learning concepts to further advance his career. This made him pursue his master’s in business analytics at UCLA Anderson. The program gives him the opportunity to not only learn about data science tools and techniques, but also a deep insight into the role of these skills in making business decisions. Pranay really enjoyed the prescriptive analytics class and is looking forward to learning Customer and Competitive Analytics.

Qiumeng Yu

Qiumeng is passionate about solving complex business problems and managing international,
cross-functional projects using advanced analytical skills. She started her professional journey as
international management trainee at Audi Headquarters in Germany, after graduating from
Technical University of Munich. Her expertise in multiple quantitative and qualitative methods has
helped companies achieve significant cost reductions while improving operational efficiency and
workplace productivity.

Through this MSBA program, Qiumeng expanded her technical expertise in machine learning,
prescriptive modeling and optimization. Currently she focuses on applying these advanced data
analytical tools in customer, operation and competitive analysis. She is participating in an
analytical project right now to assess the impact of COVID-19 on a local airport, since giving back
to society has always been important in her life. And she is excited to perform advanced business
analytics as well as bring innovative solutions to customers after graduation.

Qiumeng’s active listening skills help her connect with people and quickly earn their trust. She
speaks Chinese, English and German fluently, and she has left her footprints in over 20 countries
on five continents. Qiumeng’s adventurous spirit leads her out of the comfort zone, and her
curiosity about the world never ends.

Ranjan Srinivas

Ranjan was always interested in technology and its applications. Although he graduated with a bachelor’s in computer science from College of Engineering Guindy, India, he was interested majorly in statistics and Data Science. As someone who was passionate about sports, he was also curious about the application of analytics in sports.

After consulting various professionals and friends, Ranjan applied for the Master of Business Analytics. Ranjan felt it was important to not just be technically proficient in programming languages and statistics but have a strong grip on the business fundamentals revolving around the domain of expertise. After having interacted with various professionals from different industries, Ranjan realized the importance of not just Data Science, but Data Engineering and designing ETL pipelines. Ranjan has also loved the prescriptive analytics and customer analytics courses, and is considering entering into the marketing domain.

Ranjan loves to cook, watch (and play!) a lot of soccer.

Renee Wang

Renee graduated from UCLA with a double major in Economics and French. She started off her career at UCLA Health as a grant analyst, responsible for identifying and resolving numerous budgetary issues through diagnostic analysis of internal financial processes. Business analytics appeals to Renee in that it utilizes this incredible manmade force of nature, technology, yet is still inseparable from its most human element, critical business thinking. This is what motivated her to pursue the MSBA degree at UCLA Anderson.

Renee sees herself in a role that engages technology, understands data and leverages its power
 to improve the way we live and interact. She is passionate in leveraging big data and analytics to develop tangible business solutions for an increasingly digitalized world. Apart from technical and programming skills, her time as an analyst has developed a keen eye for detail and a productive work ethic. Renee is a proactive individual who value-adds experiential learning to her area of studies.

Renee will be joining Intuit as a data analytics intern this summer.

Ricca Li

Ricca graduated from the University of California, Irvine with a bachelor’s degree in Computer Science and a minor in Accounting. After exploring internship opportunities within various industries and roles, she developed an enthusiasm for applying data analytics in business. Ricca joined the UCLA MSBA program to advance her analytics skillset and business acumen.

Besides enhancing her programming skills in Python, SQL, R, etc. Ricca gained more understanding of integrating the power of technology with business decisions. Coursework such as competitive analytics and customer analytics are the best examples to illustrate how the MSBA program teaches students to discover data insights and transform them into practical business strategies.

This summer, Ricca will be joining PennyMac as an IT Analytics Intern, where she will apply her skills in data engineering and analytics to deliver meaningful business solutions.

Samarth Raizada

Samarth loves doing two things: being creative and telling stories. After getting his bachelor’s in computer engineering from India, Samarth worked as a systems Engineer for Infosys, enabling a large Australian Bank to take off a billion-dollar digital overhaul of its existing legacy system. He was also among the top 2% of the candidates selected for writing Indian Civil Services examination. This eclectic knowledge continues to help him across diverse domains where data science has today become a common denominator. His four years of experience working with high volume, high velocity data for both public sector clients and large private corporations has helped him to uniquely understand how data is shaping the world of today. 

After helping build data-centric culture for Transcend Infosystems, Samarth decided to move into cutting-edge Analytics, which brought him to UCLA Anderson where he is learning real time applications of Customer, Competitive and Operational Analytics and applying those to projects from companies like Microsoft. He is especially amazed at learning how customer preferences are measured and how qualitative and quantitative methods to select the best product according to those preferences are applied. The MSBA Program has also helped him connect with and learn from industry leaders. Samarth today is comfortable across the spectrum of driving change through Data Storytelling to building machine learning models that can then be measured within larger macroeconomic and microeconomic context.

But only Analytics is not what Samarth brings to the table: In his spare time, he loves picking up his electric guitar, and strumming a few chords from time to time. He is also well versed with the use of a charcoal pencil and loves to sketch. As the Vice President for Social networking and Culture, he actively works to ensure that a diverse MSBA cohort stays cohesive (,especially in times of COVID-19) through team-building exercises. And if you can’t find him, the gym would be a logical place to start!

Sharad Jain

Sharon (Jiayue) Zhang

Sharon graduated from University of Illinois at Urbana Champaign with a bachelor degree in Statistics. After years of practice in applied statistics and mathematics, Sharon had grown a solid belief that the ability to correctly and efficiently leveraging data has great power for various industries. Eagerly to expand the knowledge of quantitative and qualitative analysis and apply academic learning in the professional world, Sharon chose to join the Business Analytics program at UCLA Anderson School of Management. 

Before joining the program, she had multiple data analytics internships that required her to build marketing mix models for clients and conduct survey data modeling. During the internships, she has grown a passion in enhancing the communication between tech and non-tech audiences by translating data analytics result to non-tech audiences efficiently. 

After taking some MSBA courses, Sharon has seen significant improvement in programming skill of R, SQL, Python and Tableau. She has benefited a lot from the course material with a combination of both technical data analytics content and business strategy material, which greatly enhanced her ability in making data-driven decisions and telling data story. She will continue to learn how to choose appropriate models to implement for various business questions, and apply her knowledge and understanding in her future career as a data analyst.

Shufan Chen

After Shufan graduated from University of Illinois at Urbana Champaign, triple majoring in statistics, economics and chemical engineering, he worked for McKinsey as a part time consultant for half a year. Throughout his internships and research experiences, Shufan has been steadily accumulating experience and skills in data wrangling, machine learning and most importantly extracting business insights from the models.

Currently Shufan focuses on his learnings in machine learning and is looking forward to learning more about big data infrastructure. Shufan found his competitive analytics class interesting and useful as it connects inferential statistics from economics with interesting machine learning techniques.

Sikyun (George) Lee

Sikyun is a problem-solver leveraging data analytics to diagnose product and operation performance and to strive towards building data-driven solutions.

Before joining UCLA M.S. in Business Analytics program, Sikyun received his B.S. in Industrial Engineering at Hanyang University and joined Korea Aerospace Industries as an Aircraft Logistics Support Planning Engineer. Within his role, Sikyun planned and implemented aircraft supply chain networks to support the operation of Korean-made fighter aircrafts for numerous international clients including the Royal Thai Air Force, Philippine Air Force, and the Indonesian Air Force. Analyzing clients’ aircraft operation data, Sikyun has improved the clients’ inventory of aircraft parts and reduced their operating costs using various analytical tools and Operation Research models. After his contribution towards building a stronger national defense for Korea and its allies, Sikyun now aims to make an impact closer to consumers with analytics. 

While Sikyun has an overall understanding of machine learning models from his undergraduate education, Sikyun has further increased his understanding and application of machine learning models through courses like Customer Analytics and Operation Analytics. Sikyun is especially interested in utilizing customer and marketing analytics to help clients better understand its customers and measure their customer lifetime values. Other than data analytics, Sikyun gained a business acumen in terms of how results from data science models can be transformed into actionable insights and business strategies from UCLA Anderson. 

Sikyun will be joining Retina this summer as a Product Strategy Intern. Within his role, Sikyun will be building complex machine learning models to measure customer lifetime values for Retina clients over the summer to respond to the consumer changes caused by COVID19.

Siyuan (Nita) Ni

Nita graduated from University of Washington – Seattle in 2017 with a bachelor’s degree in mathematics and minor in applied mathematics. During her undergraduate studies, she had a solid understanding of stochastic modeling, probability and data analysis. She was a research assistant at Washington Experimental Mathematical Lab for 6 months, and she focused on exploring mathematical phenomena by visualization. In addition, she is interested in the field of actuarial science, and she is pursuing the associate of the Society of Actuaries. Currently, she has passed four actuarial exams and three VEE courses. In order to gain real-world experience, she has been volunteering as a data analyst at a non-profit organization since February 2020. She leverages data and builds the models to discover insight and patterns for developing strategies to prevent youths from the danger of drug abuse.

Nita is honored to be a part of the MSBA class of 2020 at UCLA Anderson Business School. MSBA program offers a variety of interdisciplinary courses that relate to analytics, business, economy and statistics. She thoroughly enjoys the classes such as Customer Analytics and Prescriptive Modeling, since she gets a comprehensive understanding on applying quantitative approach to predict customers’ behaviors. She becomes more proficient in main programming languages for analytics, like R, Python and SQL, and she would like to apply her analytical skills in data analyst roles after graduation.

Taufeeq Rahmani

Taufeeq is an advanced analytics professional with over five years of work experience in retail and technology. He is focused on harnessing the power of data to tell stories that drive business strategy.

Taufeeq stumbled upon the field of analytics and data science while working on a research project during his undergraduate studies as a Mechanical engineering student at BITS-Pilani, India in 2013. The project involved utilizing Genetic Algorithm for analyzing efficiency in machines. Taufeeq got really interested in this field. After graduating, he joined Mu Sigma, a pure play analytics company, as a Decision Scientist. At Mu Sigma, he worked for Microsoft's Bing Ads on multiple projects to enhance relevance of ads shown as well as to maximize revenue. There, he quickly rose the ranks to lead a small team. After working for over two years at Mu Sigma, he got an amazing opportunity to be part of a massive project to overhaul the sales forecasting process at Tesco, UK's largest retailer. There, he laid the foundations of a team to operationalize and modernize sales forecasting and help Tesco reduce costs by more precise planning.

Taufeeq joined the MSBA program at UCLA Anderson, to add better tools in his analytical toolkit and to round out his analytics knowledge. He is excited to learn about the applications of analytics in verticals outside of retail and technology. One of the highlights of the program is the continuous industry interaction and the networking opportunity it brings. A curriculum that supports both an internship and a capstone project is also unique to the MSBA program. Taufeeq is continuously inspired and awed by the outstanding peer group in the MSBA program whose diverse backgrounds have helped him expand his mindset.

When he isn't working, Taufeeq is either hanging out with his friends, exploring LA, clicking photos, reading books or playing computer games.

Terri YiTing Tsai

Terri graduated from New York University with a major in Economics and double minor in Education and French. She taught in a NYC charter school for two years and dedicated herself into working with school data with the goal of improving the performances of both the school and the students. In fact, that was when she developed a strong interest in data analytics and was eager to learn how to better utilize data to drive actionable insights. Eventually, she made the decision to join the UCLA MSBA program. 

UCLA MSBA program has given Terri her first and most critical exposure to advanced analytics. Throughout her time in the program, Terri has developed a strong foundation in using data to provide better business decisions. Courses such as SQL, R, Machine Learning, provided students with less of a programming background, like Terri herself, the essential technical tools, while courses like Competitive Analytics, Customer Analytics, and Operations Analytics expand students knowledge in applying analytical tools and algorithms to solve real world business problems. 

Besides the academic and career aspects, one of the most valuable lessons Terri has learned is the shared knowledge from her talented peers. Terri is extremely grateful for the opportunity to be a part of the MSBA program, and she is excited to see and explore what is yet to come to her data analytics journey. 

Udaya Sai Kumar Kollipara

Udaya graduated from Indian Institute of Technology Kharagpur with Bachelor’s and Master’s degrees in Mechanical Engineering. During his five years at IIT Kharagpur, he explored many subjects like economics, computer science, statistics, finance, data science etc. Through his courses and projects he found his deep lying interest and passion in Data Science which is a perfect blend of statistics, computer science and business domains.

After graduation, Udaya worked at TCG Digital as a Data Science Consultant for about two years. During that time, he worked on cases in retail, supply chain, airlines and electricity distribution domains to help his clients solve their business problems using machine learning and data driven solutions. He realized the huge impact that data can bring to any firm through the descriptive, predictive and prescriptive analytics practices. 

Inorder to hone his machine learning and analytical skills, as well as to get a B-School experience, Udaya joined MS in Business Analytics at UCLA Anderson. He found the Machine Learning, Optimization and Customer Analytics classes really interesting and enriching. This summer, Udaya is excited to join Apple as a Data Science Intern. He is looking forward to apply his skills, unlearn and learn, and finally help Apple make more user-friendly products.

OOO you can find Udaya hitting gym/ cooking vegetarian food/ exploring new places. 

Vicky (Weiqi) Chen

Vicky is a highly motivated data analytics practitioner with a passion for technology. She graduated from UCLA in 2019 with a dual bachelor’s degree in business economics and Communication Studies. She developed a strong interest in data analytics in her sophomore year where she worked as a research analyst at Center for the Digital Future. Through synthesizing and analyzing longitudinal data sets using SPSS, she realized that depending on what people do to the data, those countless numbers can tell different stories. 

In the summer of 2019, Vicky worked at CBNData as a business analyst. She worked cross-functionally with consultants and data scientists to help clients improve business models and their products by analyzing consumer behaviors and market trends. She was extensively involved in applying data mining and statistical modeling in python to analyze the market trend and improved model accuracy. Meanwhile, she practiced in data visualization by creating word clouds and heatmaps.

UCLA MSBA program has equipped Vicky with a solid foundation in manipulating data to solve business questions. Classes such as data management, prescriptive model, and customer analytics not only expanded her knowledge in data manipulation and statistical modeling but also introduced her to sophisticated ideas and approaches to make better business decisions.

This summer, Vicky will be joining Facebook as a data scientist intern and is looking forward to applying data analytics skills she learned in the MSBA program to improve the Facebook product.

Vyshak Sugunan

Vyshak has always loved finding solutions to complex hurdles and did so for three years at Deloitte
Consulting after completing his undergraduate degree in Computer Science and Engineering in 2016. It was in this corporate landscape where he understood the true extent of the impact every business
decision creates.

Vyshak understood to effectively make such decisions, one required a sense of not only the business
landscape but also how to analyze the information available to them. He found exactly such a discipline in the Business Analytics Master’s at UCLA Anderson. Vyshak has enjoyed the various analytical subjects especially the Prescriptive and Competitive Analytics courses as well as the business domain subjects such as Business Fundamentals and the Industry Seminars made available to them. He believes the blended business and technical competency he achieves from the MSBA program would make him ideal for any cross-functional role within an organization. Vyshak would like to use this knowledge to learn even further and attain his dream-role as CEO of his own company.

On his downtime, Vyshak loves to dabble in all genres of music, games and movies. But for his true
escapes, you can see him either working out at the gym or cooking up long drives with friends and
family.

Xingshuo Dong

Xingshuo graduated from the University of Wisconsin-Madison with a BBA degree in Accounting in 2019. During her undergraduate studies, she developed a strong foundation in problem-solving and financial analytical skills. She had interned at several elite companies in the financial industry, which stimulated her interests in the field of data analysis. She was intrigued by the vast amount of potential in data analytics in finding optimal business solutions. 

The further she delves into the world of the financial industry, she gradually realizes the irreplaceable role of utilizing technology and data analysis software in making informed decisions. Through her coursework at UCLA MSBA program, she became proficient in R, SQL, and Python, which makes it possible for her to solve challenging analytics tasks. 

Xingshuo is excited to be a part of the MSBA program at UCLA Anderson to deepen her knowledge of quantitative analysis and refine her analytical training in an interdisciplinary setting. Xingshuo hopes to build upon the skills she developed throughout her academic and professional experiences to become a successful data analyst. She is also excited to leverage her past professional experience and new knowledge from MSBA to make optimal business decisions and constructive strategies. 

Yen-Ling Kuo

Yen-Ling is interested in designing solutions to tackle complex problems. Throughout her three-year journey with IBM, she engaged in project management, budget planning, cost-benefit analysis, HR information system transition, and workforce optimization. Thus, she has abundant experience in capturing penetrating insights through a quantitative approach. 

She is currently pursuing her Master’s degree in Business Analytics program at UCLA so as to hone her skills in analytics. She is thrilled to learn cutting-edge techniques in data visualization, machine learning algorithms, data management, optimization, and so on. One of the projects she delivered leveraged machine learning algorithms to predict employees’ attrition. This summer, Yen-Ling will join Amgen where she can utilize these analytical and statistical methods to strengthen the business. 

Yen-Ling believes in the importance of data. She is looking forward to joining a team of data experts to contribute to the company and the community.  

Yujie (Leo) Li

Leo graduated from University of Illinois at Urbana-Champaign with a Bachelor’s degree in Finance. During his undergraduate, Leo interned in the financial industry specializing in private equity. He decided to shift his path to business analytics after applying modeling techniques to solve a supply chain problem at Abbott. Leo further got to know more about data collection and preparation after he interned at a leading sports data provider. 

Since joining the MSBA 2020 cohort, Leo was impressed by the care and support not only in study but also in work and life from the MSBA family. Customer Analytics and Prescriptive Modeling are two of his favorite courses in the program. These two courses provided the essential tools in the industry right now such as product feature selection, customer segmentation, and A/B testing. Leo is thrilled to explore the world of data as a data scientist with the skill sets learned from MSBA.

Yuxuan (Isabel) Luo

Isabel is a highly collaborative product manager who leverages data to drive growth and build more intuitive products that have real impact on people's life. She graduated with a bachelor’s degree at Cornell University with a double-major in Political Science and Economics.

Before joining the UCLA MSBA program, Isabel worked at the product team at Tencent, where she helped the team test, launch and optimize the Tencent Cloud product in North America. She also had one-year of blockchain startup experience, where she led the team to build two to-C apps from the ground-up. While her main skillset was built around product management, Isabel had multiple data analytics project experiences including fraud detection, customer LTV estimation and A/B testing experimental design.

At the MSBA program, Isabel enhanced her technical skills such as data manipulation, prescriptive modeling and optimization using Python, SQL and R. More importantly, she was able to train and advance the ability to transfer data insights into actionable strategies and meaningful business impacts, with courses like Customer Analytics and Competitive Analytics.

Isabel will be joining Facebook this summer as a Data Scientist intern. She is eager to apply the business analytics skills she learned at the MSBA program to revamp the user experience of Facebook’s products.

Zhiyi (Elaine) Yang

Elaine graduated from University of Washington with a B.S. degree in Mathematics and Economics in 2019. During her undergraduate study, she focused on econometrics and statistical modeling. She found her interest and passion in using data to solve business problems and give business recommendations. After graduation, she chose to continue to study further in data analytics and data science.

Studying at UCLA MSBA program, Elaine has developed analytical skills in data manipulation in R, Python and SQL, machine learning algorithms, and both quantitative and qualitative analysis. She learned several machine learning models in class and further learned how to apply those models in real-life projects in the Customer Analytics class. Elaine not only learned technical skills but also gained a deeper understanding of using data to drive business decisions, how to deliver the results and data storytelling.

Elaine will be joining Electronic Arts this summer as a data analyst intern. During this internship, she can apply the knowledge she learned from class like A/B testing, data manipulation in R, optimization, and statistical modeling. She is also ready to learn more from this internship. As a game player, she is looking forward to working with the team on more interesting projects and getting to know more about the game industry.

Zhongji Wang

Zhongji graduated Summa Cum Laude with a bachelor’s in accounting from Miami Ohio. Love and Honor! Studying accounting in a nation-wide top program for four years sharpened his numerical skills and logical thinking. With this momentum, Zhongji decided to pursue advanced studies and he graduated Magna Cum Laude with a master’s in accountancy from the University of Notre Dame. Go Irish!

His time at Notre Dame helped him to solidify a professional career path in this field. Zhongji started his first full-time job as an auditor at PricewaterhouseCoopers. During his time at PwC, Zhongji performed audit and quarterly review procedures on 10+ clients from various industries including technology, pharmaceuticals, manufacturing, and new energy. Zhongji is soon to be a Certified Public Accountant (CPA) in the state of New York. His expertise lies in IFRS and U.S. GAAP, financial accounting and reporting, taxation and business law, auditing and attestation, and valuation.

Having worked as an auditor for about two years, Zhongji decided to move his endeavors beyond the scope of auditing and to explore and expand his career possibilities. Zhongji is currently pursuing a master’s in business analytics at UCLA Anderson to add analytics skills to his skill sets. Combining the languages of technology and business, Zhongji is ready to unlock his professional potential after graduation in December 2020!