Smiti Aggarwal completed her Bachelors of Technology in Information Technology in 2018 after which she joined the MSBA Class of 2019. Her interest in the field of Data Analytics was sparked during her internship at Bluestacks where she worked on marketing analytics project for their online marketing campaigns. Her other internship during her undergraduation was at Amazon as part of the Amazon Campus Mentorship Series.
After joining the program she worked part time as a data scientist at Systech Solutions, an analytics consulting firm. Smiti worked on developing an anomaly detection solution and a recommender system for their retail clients.
She also volunteered on a data science project at the City of LA, Mayor’s Office to contribute to their data analytics ventures. Her project involved creating visualisation to understand the difference in the supply and demand of jobs in Los Angeles, particularly in the area of nursing and construction.
Smiti is passionate about working with consumer related data to unmask financially significant insights. She wants to use this program to develop expertise in leveraging data analytics for strategic decision making.
Ali Ozgur Cetinok
Ozgur has two years of experience working in data science projects and internships. Currently, he is a Master of Science in Business Analytics student at UCLA Anderson School of Management, with an Anderson Merit Fellowship.
He has worked on several projects focusing on data-driven solutions to increase efficiency and accuracy in business problems. He has created and maintained structural databases, and built machine learning and artificial intelligence models solving problems about Demand Forecasting, Natural Language Processing, Marketing Analytics and Operations Analytics using numerous tools such as Python, R, AWS and SQL.
During his undergraduate studies, he studied Industrial Engineering and focused on Operations Research, Stochastic Modeling and Applied Mathematics. Then, he completed his Master’s degree in Applied Economics. With the help of his background in engineering and economics, he was able to combine the Data Analytics knowledge with his finance and business skills, to gather more real-life insights from data.
His data science internship journey started at Wasserman, where he identified unique and actionable insights related to advertisement targeting in sports marketing. After 3 months of part-time internship at Wasserman, he started interning at Systech Solutions Inc, a data science consulting company. He has contributed to two different cases there, which are mainly about demand forecasting and recommendation engines.
Ozgur is currently a Summer Data Scientist at Boston Consulting Group, GAMMA. He is translating data science solutions into business implications for BCG clients.
Roujing graduated from the Hong Kong Polytechnic University with a B.A. in Marketing in 2018.
She cultivated outstanding persuasive communication skills through the projects and frequent interaction with different people in group settings during her undergraduate study. Roujing also strengthened her knowledge in marketing analytics by working on various marketing effectiveness evaluation projects across industries. She is passionate about using quantitative modeling and business analysis to help clients make executable, intelligent, and impactful decisions.
Roujing is eager to sharp her abilities in transferring data concepts into business value and address company’s needs. When Roujing was working as a Data Science intern at Oxford Road California headquarter, she prototyped the algorithm to evaluate marketing effectiveness and to suggest advertising plan automatically from data analytics.
The idea of connecting various information intelligently, and the ability to translate complex business problems into actionable quantitative solutions has motivated Roujing to pursue the master’s degree in Business Analytics at UCLA Anderson, and dive deep into customer analytics. Roujing is looking forward to leveraging her analytical skills and business acumen to tackle problems logically, effectively and creatively, and pivot marketing and customer data into strategic decisions, with a cohort of talented aspiring analysts.
Varick graduated from Huazhong University of Science and Technology in 2017 with a Bachelor’s of Information Management and Information System. He started off his career as an IBM consultant three years ago, responsible for managing huge dataset with 50 million bank customer’s data, analyzing and clustering via SAS and Oracle database. He will describe the customer profile to increase the precise marketing successful rate.
Before enrolling in UCLA Anderson, Varick worked for a year and a half in various industries of finance, investment banking, traditional bank, healthcare, computing, and ecommerce. Varick had exposure to processing various type of data, implementing various business decisions and exercised his quick learning abilities to enhance his business insights. He has studied aboard in four different countries and enjoys surfing and skydiving.
Having graduated from UCLA with BS in Civil and Environmental Engineering, specialized in both Geotechnical and Structural Engineering, seconded by a technical breadth in Technology Management, Rayan quickly developed a strong interest in problem-solving. He is particularly passionate about developing tangible business solutions for an increasingly digitalized world by leveraging big data and analytics. This is what pushed him to pursue his MS in Business Analytics at UCLA Anderson.
Strengthened by a background in Deloitte Consulting’s Strategy and Operation practice and ZS Associates Decision Analytics branch, Rayan 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. With a multi-cultural and multi-lingual background, he uses his excellent interpersonal skills to perfectly work in synergy with teams of various size, making the best use of the team’s diversity and expertise to offer the most efficient answer to any task at hand.
Rayan used his strong analytical skills and business acumen, as well as his good understanding of the dynamic needs of numerous markets operating in diverse industries, such as Africa’s emerging markets or Silicon Valley’s tech-industry, to work with and advise multiple startups. These startups hailing from various industries around the world, ranging from nightlife to healthcare, he typically advises on roll-out and implementation strategies, business plans, revenue streams and potential partnerships to explore.
As an analytics professional and an active student leader, Rayan is committed to staying as current as possible with industry trends and techniques. This commitment has pushed him to become a Director of UCLA Anderson’s SOMA (Strategy and Operations Management Association) and create focus groups to help MSBA students explore and develop their skills and knowledge of the Management Consulting practice. He strongly believes in taking on as much responsibility as possible in helping his peers and the community, by volunteering in coaching high schoolers in winning the 2nd Place in the City of Los Angeles Datathon, or simply by creating a mentorship program to help new incoming students settle.
Tianyu is a highly collaborative and driven Data Scientist, focusing on driving business solutions with big data. Tianyu majored in economics and fintech in Renmin University in Beijing during his undergraduate, and went to Smith Business School in Queen’s University in Canada as an exchange student. He loves to explore different industries, he has interned at venture capital, consulting, fintech and high-tech industry, such as Amazon.
This summer Tianyu will intern at LinkedIn as a Data Scientist, and leverage data analytics to optimize LinkedIn product. During Tianyu’s free time, he likes playing basketball, working out and finding delicious food with friends. He is a big fan of the Houston Rockets and really enjoys watching NBA games.
Tianyu has learned a lot from the MSBA program, knowledgeable in Python, R and SQL, this program has further increased his technical skills and has given him many opportunities to apply his skillsets. Tianyu has participated in three data science competitions- Adobe Analytics Challenge, City of LA Datathon and BCG Gamma Datathon, from which he gained much data science experiences as well learned insights from industry experts. Tianyu has taken competitive analysis course, in which they discuss strategies that happen in day to day life. Tianyu is looking forward to his summer internship at LinkedIn and his final quarter.
Shwetha graduated from the University of Michigan in 2016 with a Bachelor's degree in Industrial and Operations Engineering. Shwetha found herself drawn to operations and analytics from the start of her career and would go on to spearhead analytics initiatives at a pharmacy technology startup in San Francisco. She’s motivated by socially impactful projects and wants to work for firms that recognize the value of merging community betterment with advancing technology.
Shwetha joined the MSBA program at UCLA because of its unique positioning in academia and industry as a STEM degree that offers invaluable opportunities to break barriers between business and tech. She’s most excited about learning new programming languages and applying them to large datasets in any high-impact setting.
Shwetha is also working towards a yoga certification and loves to hike and travel. Outside of school and work, you will either find her at a yoga immersion workshop or out on a trail chasing waterfalls.
Divakar is a Data Science professional with extensive experience in core engineering. He graduated from SJCE, Mysore in 2013 with a B.E in Electronics and Communication Engineering. Divakar started as a software engineer at Aptiv where he worked on infotainment display and parking guidance system of cars. During his work at Robert Bosch, Divakar developed software for complex device drivers.
His interest in data led him to join a public policy think tank where he studied data-driven policy decision-making and worked on statistical models for measuring the legislative and administrative performances of different Indian states. Divakar realized that applying quantitative methods without asking the right business questions is an exercise in futility. He joined Business Analytics program at UCLA Anderson to gain business acumen required to appreciate the intricacies of business world.
Divakar is focused on helping clients to make intelligent and actionable decisions by modeling data-driven businesses through data science and machine learning. It’s incredibly fulfilling for him to translate complex business problems into data problems and solve them using state of the art techniques.
During Spring 2019, Divakar interned as a data scientist at Systech Solutions, a data science consulting firm. At Systech, he was involved in modeling and end-to-end cloud deployment of models for pitching the ideas to potential clients. This upcoming summer, he will be working as a data scientist intern at Grid Dynamics, a tech consulting firm.
Roberto Huang graduated from Fudan University with a major in Financial Management and minor in Data Science. Upon his graduation, Roberto was equipped with practical skillsets of processing and analyzing large amount of industrial data which enabled him to implement a series of data-oriented projects modeling and solving real-world problems.
After he started the Business Analytics program at UCLA Anderson, Roberto has found his Data analysis Industry seminar courses especially helpful with insightful sharing from the leading data scientists of different industries, which broadened his horizon of applying data technologies innovatively to a variety of real-world scenarios.
By understanding data, Roberto is sure he will see through the world to find the truth and master a scientific decision-making process that gives him advantages in the business world.
Monica graduated from the College of William and Mary with a double major in International Relations and Economics. Her interest in data analytics started in the summer after her sophomore year where she saw how data could make substantial differences and transformations on enterprises. She later joined CBN Data Technologies under the Alibaba Group in the Data Analytics Department in Shanghai and is now pursuing a master degree in Business Analytics at UCLA Anderson School of Management. Monica has benefited greatly from the program where she learned various techniques and fundamentals in competitive analytics and marketing analytics. Monica will be joining Abbott as a pricing analytics intern for the summer of 2019, and she is looking forward to working with the leading biotech & pharmaceutical company.
Ling Jiang received his dual Bachelor’s degree of Finance and Computer Science from Shanghai Jiao Tong University in 2018. During his undergraduate study, he learned to apply models and analytical skills for the study of both individual cases and macroeconomic context. As his academic journey moved on, He came to see how applied mathematics and data science have taken up a key role in modern business activities and trades. Courses like Financial Econometrics furthered his understanding of the significance of statistics and quantitative analysis in financial case study. With the application of quantitative tools and algorithms, one can process financial data with unprecedented accuracy and efficiency. This is why business analytics appeals to him.
Ling Jiang will join Qualcomm as an information technology engineer intern this summer, focusing on data science and operation management. Previously, Ling Jiang had plenty of experience in financial engineering. He worked as a Data Mining Engineer (Financial Engineering Track) for Ping An Technology and Financial Engineer for Guotai Junan Securities. One of his principal duties was to code, test and optimize a retrospective model. He was, and still is, excited about how data technology has greatly reduced the amount of time and manual labor required in extracting useful information from mass data and he wishes to explore the more profound and sophisticated application of data analytics in business study and decision making in the future.
In his understanding, business analytics is an interdisciplinary applied science that merges business theories, statistical tools, and computational technology. Having benefitted from his undergraduate coursework in both finance and computer science, he has developed a quite solid command of the financial and economic theories, statistical and econometrical models, stochastic processes, and the programming languages of C++ and Python, algorithms and database. Master of Science in Business Analytics helps him sharpen his understanding of business activities based on data analytics and develop the data-driven problem-solving skills applicable to the real-world industry.
Shagun Kabra graduated from University of California, Los Angeles in 2016 with a bachelor’s degree in Mathematics & Economics and specialization in Computing. During his time as an undergraduate student, Shagun was a celebrated student leader - serving as a Resident Assistant and being a part of UCLA’s Undergraduate Student Government as the Election Board Chairperson. On the professional front, Shagun gained ample work experience by interning at Ernst & Young and Grant Thornton.
After graduating from UCLA, Shagun worked as a Software Engineering Consultant for Sony Pictures Entertainment. He was involved in feature development within Sony’s custom application for WorldWide TV Distribution and Sales Planning. This role allowed him to apply his technical and theoretical concepts to solve real business problems in the Entertainment Industry. In the 2 years Shagun worked there, he was exposed to Software Engineering, Data Science, Project Management and Product Development. It was during this time that Shagun learned the ever growing importance of data and the supply-demand imbalance of people who can derive actionable insights from it. He realized that as companies continue to move toward data driven decision making, more and more people will be required to have a formal background in data analytics. This experience motivated him to return to UCLA and join Anderson’s MSBA program to advance his data analytical skills and business acumen.
Shagun is beyond excited to be a part of the MSBA Class of 2019. He loves how rooted in business applications the program is and how relevant the concepts are to solving real problems. As a huge fan of the Entertainment Industry, Shagun was extremely glad when he got the chance to engage in a classroom discussion about Strategy in Game of Thrones. He knows his ability to derive insights from data and manage projects will help him to build a solid career within the Entertainment Industry, where one day he hopes to be Greenlighting future content! This upcoming summer, he will be working as a Project Management Intern at Apple.
George is a student at the M.S. Business Analytics program at the UCLA Anderson School of Management. He is thrilled to be learning from a world-renowned faculty in his hometown of Los Angeles. George has a strong quantitative background from his undergraduate studies at UC San Diego and a year of industry experience.
Upon graduating from UCSD, George worked for one year as a corporate finance associate at a commercial real estate firm in Irvine, CA. Here he was able to develop analytical skills in Excel and gain real-world business acumen. Eager to apply more of his quantitative expertise in business settings, he applied to Anderson’s newest M.S. program.
In the MSBA program, George is building on his current analytical skillset in R, gaining a strong familiarity with machine learning methods in Python, and developing Tableau visualization expertise. He is grateful to be ahead of the curve on many of the techniques that are used by business analysts and data scientists alike.
George is excited to be joining the Western Digital Customer Success team as a Marketing Analytics intern this summer in San Jose, CA. He is especially interested in positions involving operations or customer analytics after learning many such techniques this past spring.
Leah Kelly is an advanced analytics practitioner with over five years of experience in research and technical project management. Leah’s career path maps the growth of her passion for uncovering insights in data that can be transformed into actionable strategy.
Leah first became attracted to data-driven research at Boston University, where she earned her BS in Economics and International Relations. She was drawn to Economics because it combined her talent for quantitative analysis with her interest in the study of human behavior. She conducted Labor Economics research in Ghana during her senior year. After graduation Leah accepted a position as an Associate Project Manager at DTI, the largest legal services firm in the eDiscovery industry. In her position at DTI, Leah learned techniques to mine, cluster, and cull massive amounts of data to unearth documents key to multi-million dollar legal cases. She worked cross-functionally with her engineering and sales teams to guarantee project continuity and developed strong relationships with her clients.
In order to gain more advanced research expertise, Leah pursued an MS from the University of Minnesota in Applied Economics with graduate minor in Statistics. Here Leah was trained in advanced econometrics and behavioral theory and wrote a thesis on how the propensity for risk-taking in adolescents affects marijuana use. During her degree, she was a teaching assistant for a Business Economics and Strategy course and a graduate researcher for the State of Minnesota Office of Higher Education and Department of Revenue. As a researcher Leah employed data to advise lawmakers in a diverse range of subject areas – from exposing higher education attainment gaps to forecasting complex tax expenditure spending. In her time with the State Leah managed and contributed to several legislatively-mandated reports.
Leah joined the Business Analytics program at Anderson to gain business acumen and round out her analytics training in a truly interdisciplinary setting. Leah is excited to combine her background in Economics with exciting techniques in machine learning and neural networks to help data-driven firms predict consumer behavior and customize their user experience. Leah is looking forward to spending her summer at Nike WHQ in Portland, OR working within the data science team on demand forecasting.
As a highly motivated and dedicated student with strong data analytics skills, Li is determined to contribute to the healthcare industry. His extensive internship experience in various industries (healthcare, IT, investment banking, Fintech, etc.) has well equipped him with solid skills in applying data analytical techniques (machine learning & data visualization) and communicating analytical findings effectively with other non-tech colleagues.
Graduated with first class honors from the Hong Kong Polytechnic University in 2017 with a major in business administration, he was endowed with a solid grasp of business fundamentals, and more importantly the ability to analyze and solve real-life problems. This ability was further enhanced in his investment banking analyst internship at CCB International where he analyzed target companies’ financial data and identified significant liquidity and over-leveraging risks which helped CCB avoid making a risky investment of 30 million USD in a healthcare company. This experience intrigued him to further explore advanced analytical tools in analyzing company performance.
Upon graduation, he joined Dell as a sales data analyst intern. After utilizing Python to perform web scraping and creating a database of 1,600 universities for analysis, he identified some root causes of Student Purchase Program’s unsatisfying sales performance. His analysis allowed managers to change their marketing strategies and as a result the campus ambassadors’ sales was increased by almost 30% compared to last quarter.
In order to apply what he have learned at Dell into the healthcare industry, he then interned at iCarbonX (a healthcare unicorn with US$155 million in series-A funding) where he intensively involved in mining user data, creating data-based customer personas, and illustrating findings to other non-tech members when engaged in the cross-functional team. The new E-commerce pages and marketing strategies created by the cross-functional team have tripled the user conversion rate. This experience further enhanced his interest in applying data analytical skills to help healthcare companies.
Observing that the healthcare industry is on the brink of a major transformation, due to advanced analytics and big data technologies, he decided to pursue his current M.S. Business Analytics program at UCLA Anderson. He is thrilled to continue sharping his quantitative analysis skills and transforming himself into a data expert, in order to help healthcare companies elevate their business performance to the next level.
Chun-Peng Lin graduated from National ChengChi University in 2015 with a B.S. in Management Information Systems, which equipped him with the ability to tackle business problems through technical and innovative approach.
After graduation, Jimmy joined EY (Ernst & Young) Advisory Service as an IT Advisory Consultant under the Performance Improvement department. Over two years consulting experience at EY, he engaged in projects involved with multiple Performance Improvement, Process Optimization, ERP (Enterprise Resource Planning) System Implementation, Data Integration, and Data Warehousing projects for clients in diverse industries which continuously create significant value to the clients through the power of technology. During one of his projects at EY, he built and redesigned the whole ETL processes and Data Warehouse with SQL/ Informatica. This delivered a faster and more secure data access to enable powerful analytics performance; this sparked his interest in the field of Data and Business Analytics.
While attending UCLA Anderson’s MSBA program, Jimmy hopes to build upon the skills he developed throughout his academic and professional experiences to become a successful business data analyst. He is also excited to learn from his cohort with different perspectives and background. He looks forward to leveraging his past professional experience and the skills gained from the study at UCLA MSBA to better improve the decision-making process through data analytics for the companies.
Sowmya comes from a background in business and engineering, with experience across sales, marketing and product development. Her interest in data analytics stems from her work in her previous role as Assistant Channel Development Manager with one of the largest consumer goods enterprise in India. In her work, she used data to drive various initiatives such as customizing product mix based on outlet profile, improving business operations and driving sales.
Sowmya is skilled in Python, SQL, statistics, machine learning, besides strong understanding of customer behavior, operations research and economics. With MBA in marketing and strategy from one of the best schools in India, Sowmya brings rich business insights and the skill of presenting a compelling story using data. One of her achievements include national finalist in Johnson & Johnson’s case competition for developing e-commerce strategy. Her presentation involved a deep analysis of consumer spend and characteristics using various data analysis techniques and her findings were appreciated by senior executives.
Sowmya completed her undergraduate degree in Electronics Engineering from BITS, Pilani, a premier engineering school in India. She then worked as a software developer in C++, Java in a crossfunctional product team with Ericsson India, where she was recognized as best performing employee within a short span of time. She also mentored new team members and was an active member of Ericsson’s Toastmasters club, winning the Competent Leader and Competent Communicator awards.
She is looking forward to working on a challenging project this summer in the areas of data science/analytics where she can leverage her expertise and interests to enhance business growth through data based decision making.
After Marina got her Management degree from the Higher School of Economics in Moscow, Russia, she joined an event start up as a Business Development Manager. Later, she launched an office in Moscow and built its operating model from scratch. After a couple of years, Marina transitioned to the Operations team at Accenture and worked on designing a new operating model for one of the biggest oil and gas companies in Russia. While on maternity leave, she worked remotely as a VBA developer.
Currently, she focuses her studies on marketing and customer analytics. Marina is very excited to learn cutting edge techniques and help companies customize their clients‘ journey and increase the value delivered to the customers.
Marina is looking forward to joining a team of data experts to bring customer experience to the new level.
Ezhilvel Malar Elangovan
Ezhilvel graduated from National Institute of Technology, Tiruchirappalli (NIT Trichy) in May 2016 with a major in Metallurgical and Materials Engineering. During his time at NIT, he was fascinated by mathematical modeling and its diverse applications. He took additional courses in programming and machine learning to supplement his research. After graduating, Ezhilvel started as a Business Analyst at EXL Services Decision Analytics. He was working along with the product owners, marketing managers and pricing directors across the globe, helping them with providing data based facts and recommendations.
Being part of the MSBA program, Ezhilvel is thrilled about expanding his knowledge in business domains and data science. He is excited about the courses such as prescriptive modeling, competitive analytics, operations analytics, and customer analytics. He is always enthusiastic about participating in case competitions and working as a team. Currently, he serves as the VP of business analytics of the Strategic and Operations Association (SOMA) at UCLA Anderson. At SOMA, he aims at educating the future business leaders with the tools to be data-driven and also learning the leadership styles. He believes in the concept of active learning by participating in social and technical activities through meetups and workshops.
He is looking forward to applying the advanced analytics techniques to understand consumer behavior and help companies make better decisions.
Serin is a passionate data scientist with professional experience in Data Science and ETL in the Fintech and Consulting industry. She is focused on deriving real-world insights from the large volumes of data that has been made available to humans over the last few decades. After attaining a degree in Computer Science and Engineering from the National Institute of technology, Trichy, she joined VISA Inc. as a software engineer in the Data Platform team. She is a skilled programmer with experience in a host of different programming languages and technologies not limited to Python, C++, SQL, command line scripting and the Big Data technology stack.
Serin is also a seasoned public speaker and has been a toastmaster, from the age of 14. She has been instrumental in establishing and leading two toastmaster clubs as Founder and Charter President. Her current area of interest is in the art of making complex content available in a more comprehensible format to audience with better analogies.
She is currently enrolled in the MSBA program at UCLA Anderson to enhance her understanding of real world datasets, their underlying distributions, and build deeper understanding of data driven algorithms. With her newly built skillset, Serin is super excited to put her passion for data and technology to better use and foster a truly data driven culture in real world businesses.
Erica graduated from the University of California, Los Angeles in June 2018 with a bachelor’s degree in Business Economics. During this time, she found herself most interested in the quantitative analysis and modeling aspects of the economics discipline. Outside of her studies and coursework, she was very involved in student organizations on campus. She held leadership positions in two of UCLA’s largest philanthropic groups, where she aimed to improve their efficiency and maximize their social impact by managing finances and operations.
Erica gained a wide range of work experience through both academic and summer internships during her undergraduate studies. She held roles focused on business development, social impact, and product analytics at many different company types — a startup (GVNG), small business (Marrin Costello Jewelry), and large international corporation (The Wonderful Company).
It was in her role as a product analyst at GVNG that Erica grew interested in how data analytics could help companies build better products, and better satisfy the wants and needs of users. During her year with the company, she analyzed product data from beta users to help build the future product roadmap, performed predictive and financial modeling to help price the product tiers, and aggregated data from various sources to build live KPI visualizations for management. This experience motivated her to seek continued education through UCLA Anderson’s MSBA program to advance her technical toolkit and business problem-solving skills.
Erica is very excited to be a part of the MSBA Class of 2019. She is particularly excited about her Prescriptive Modeling and Customer Analytics coursework; their focus on understanding consumer behavior and deriving insights from data will translate fantastically to a future career in Product Management. This upcoming summer, she will be working as a Technical Product Management Intern at Workday in Pleasanton, CA.
Abby graduated from University of Illinois at Urbana - Champaign on June 2018 with a dual degree in accountancy, finance and a minor in statistics. During her undergraduate degree, Abby interned at several companies in multiple industries, including Sun Buckets Inc., KPMG US LLP, Siemens Co., Ltd. Outside of her studies and coursework, Abby was greatly involved in campus life. She held a leadership position in Peer & Career, a registered student organization dedicated to helping students identify their career path. In her senior year, Abby served as an Illinois student admission representative, providing walking tours around the campus to prospective students.
During her ten-week internship at KPMG at Chicago office, Abby provided financial services to clients and was greatly exposed to data. Abby was able to see how data analytics were already leveraged by auditors. For instance, the time she was on an audit engagement team for a real estate investment client, she was responsible for testing different debt portfolio accounts, validating the equity waterfall model, in which she fully utilizes her analytical skills.
Business Analysts are always interpreted as a liaison between the business world and the tech world. Before joining the MSBA program, Abby interned at Siemens as a business analyst intern. Her daily duties consisted of being apart of the business intelligence team where she interpreted business terms into plain language and also helped bring business value to the charging platform that the business intelligence team had designed. Abby was able to learn and improve her analytical, communication and team-working skills from this experience.
Abby is excited to be a part of the MSBA Class of 2019. She is particularly excited about her Prescriptive Modeling and Database Management coursework. This upcoming summer, she will be joining Microsoft as a Business Analytics Specialist Intern at the headquarters office in Redmond, Washington.
Danlei graduated from the Communication University of China with a B.S. in Information Management and Systems. During her time in CUC, Danlei took programming and data management courses which provided her with a solid technical background. Danlei received her second bachelor’s degree in Economics from Peking University, where she was fascinated by the charm of econometrics, especially regression models and hypothesis testing that could be applied towards analyzing economic phenomena and public policies.
During her Junior year, Danlei did an internship for an advertising company focused on customer analysis where she crawled and scraped web pages to collect data, and used PivotTable to transform these data into interactive graphics, which for the first time opened the door of data analytics for her. Before coming to UCLA Anderson, Danlei worked as a data analyst intern at Lenovo, where she wrote R scripts to automatically clean messy data and helped save 20 hours of manual effort per week by optimizing SQL scripts. This internship experience at Lenovo helped Danlei confirm her passion for business/data analytics. Then she started taking online courses to teach herself with Python, R, SQL, and machine learning.
Outside of the professional world, Danlei is a trained dancer and choreographer. She won the champion of Beijing College Students Talent Competition during her undergraduate years.
After she started the Master of Science in Business Analytics program at UCLA Anderson, Danlei has been constantly inspired by her classmates’ breadth of worldly perspectives and diverse professional backgrounds. Danlei has found her Prescriptive Models and Data Analytics courses especially exciting and can’t wait to apply this knowledge in a data analyst role upon graduation.
Cloris graduated from the University of California, San Diego in 2018 with a B.S. in Joint Mathematics and Economics and a minor in Accounting, with strong problem-solving ability and financial skills. She is passionate about helping businesses solve their problems using data-driven decisions, which cultivated her keen interest in the field of Data Analytics. Alongside her graduate program, she continues to build her skill set, pursuing internships at various analyst roles in the financial industry and is also currently pursuing a CFA certificate.
As a financial analyst at Entropy Capital, an asset management company in China, Cloris developed models that monitor S & P 500 firms’ EPS changes by exporting and analyzing Bloomberg and FactSet data, allowing a clearer observation of stock performance which will be adopted by the firm in the future. Cloris also assisted in discovering investment opportunities and building models to follow market performance in other fields.
Cloris is excited to be a part of the MSBA program to acquire quantitative and analyzing skills through coursework in Data Management, Prescriptive Models, Operations Analytics, and Customer Analytics. Cloris is looking forward to applying these analytical techniques learned in the program to enable companies to make better data-driven decisions and build strategic and competitive advantage.
Nick is a data analyst who is always eager to learn new skills and jump out of comfort zone. Nick graduated from the University of Illinois at Urbana-Champaign in May 2018 with a B.S. in Accounting. Before that, Nick studied at Central University of Finance and Economics in Beijing for two years. During his undergraduate, Nick interned with several companies in various industries, including data analyst intern with Accenture, operation analyst intern with Lenovo, and risk assurance intern with PwC. In addition, Nick got involved on campus and held a leadership role. He was Treasurer and Director of Finance Department of Chinese Students & Scholars Association.
At UCLA MSBA, Nick has learned advanced SQL, R, and Python and applications of analytics to the business world. He is currently doing a part-time internship with Systech, a leading analytics consulting firm in Los Angeles. From the previous analytics internship experiences, Nick can translate business needs into advanced quantitative methods and also present techniques in plain language. During his free time, he has completed a few end-to-end analytical and machine learning projects including Order Delay prediction. In addition, he has finished several online classes learning analytics tools including Tableau and Splunk. Specifically, Nick has a strong interest in risk and fraud analytics and anomaly detection.
Tianyi is a highly motivated data scientist with a passion for technology and a sound foundation in mathematics and statistics. She graduated from UCLA in 2018 with a B.S. degree in Applied Mathematics with a concentration in Statistics. Tianyi has a long-standing interest and passion in using data to solve problems and has developed analytical skills in data manipulation (R, Python, SQL), machine learning algorithms, statistical modeling, and quantitative analysis.
In the summer of 2018, Tianyi worked as a data scientist intern at Tencent. She worked with the data science team on several projects regarding a news recommendation system of a stock trading app. She was extensively involved in utilizing data mining and statistical modeling techniques in python and R to identify key metrics for AB testing experiments, improve the precision of the recommendation model, and conduct quantitative analysis on the user journey and user retention. Tianyi also coordinated with the leadership and the product team to improve user experience and product performance.
UCLA MSBA program has given Tianyi a deeper understanding of using data to drive business decisions. Her academic background in math/statistics and interpersonal/communication skills have shaped her to be a good storyteller of data. This summer, Tianyi will be joining Apple as a data scientist intern and is looking forward to working with the team on more interesting datasets.
Shelley graduated from UCLA with a Bachelor’s degree in Economics and a minor in Accounting. She’s spent her last three years interning for different world’s leading professional service companies including McKinsey and KPMG, where she developed her analytics abilities, leadership, and interpersonal skills in these prestigious environments. She’s been involved in varied initiatives and taken on eclectic roles in Business Development, Product/Content Development, IBD and Accounting. Shelley first became interested in applying data to explore complex problems at KPMG, where she used the company’s database to implement comparative analysis. To explore her growing interest for blending data analysis and economic thinking, she joined McKinsey for a summer on a real estate project to answer the challenges of hitting the market white space and engineering the client’s digital products.
Following her passion to work on data to extract insightful information from it, Shelley has a keen interest in applying her strengths developed in management consulting and business analytics to an organization that's focused on having a meaningful social impact. In this transformative age, where the exponential expansion of data and increased focus on transparency require professional services to develop a deeper understanding of the business, she has a strong motivation to create data-driven solutions and actionable results for various business problems.
As a natural problem solver, Shelley is constantly looking for better ways to do things, whether through connecting people and ideas or finding the best technical/analytical solution for the job. She currently serves as president of the 2019 M.S. in Business Analytics program at the UCLA Anderson School of Management, where she establishes conversations with diverse groups at Anderson to present MSBA’s voice to contribute and collaborate in this big family.
Going forward, Shelley is inspired by the practicability of the various range of prescriptive and predictive modeling techniques, as well as machine learning techniques, so she is learning to manipulate these tools through the MSBA program.
Wentao received his dual Bachelor’s degree in Mathematics and Business Administration from Ohio State University in 2016 with specializations in finance and financial mathematics. During his undergraduate education, Wentao utilized his summer breaks to work as an intern for an investment bank and a corporation in China that allowed him to gain industry experiences. Based on these experiences, Wentao discovered his passion for applying quantitative analytical skills in a business context and noticed how rapidly industries are changing through the influence of data analytics.
Upon graduation, Wentao sought internships in New York City. He interned as an equity research analyst at Harriman Capital, a boutique investment bank on Wall Street, where he utilized the DCF and the Peer Evaluation models to analyze several corporations worth billions of dollars. In 2017, he transitioned into the commodities market as a sales and trading associate at Broker Junction, Series L.L.C. The impact on his work on the volatility of this market developed his stress resistance and decision-making capabilities. To further diversify his view of the financial industry, Wentao went back to China and accepted an offer to work as an investment analyst in a private equity firm where he utilized his skills to support the company’s multi-million-dollar investment decisions.
Throughout his time working in finance, Wentao was mindful of the power of analytics. Because of this, in 2018, Wentao decided to join the UCLA Master of Science in Business Analytics program. In the program, Wentao has learned important technical skills of SQL and machine learning. He also learned that it is important to take technical analyses and transform them into applicable business insights. Wentao wants to be able to apply his passions for learning and practicing his analytical skills in a business analyst role after graduation.
Karen joined the Master of Science in Business Analytics (MSBA) program at UCLA Anderson in 2018, with strong passion toward advanced data management,analytics and data-driven business process and development. Through her coursework,Karen strengthened proficient skills in not only programming languages and tools such as SQL, Python and R, but also advanced analysis for academic and industry applications such as prescriptive analytics, customer analytics and business optimization. Most recently, Karen started a data scientist internship in Advanced Analytics Group at The Walt Disney Company, which was initially offered for the summer-only but later extended to the end of this year. At Disney, Karen has mainly analyzed nation-wide customer data on everyday basis for customer-oriented business marketing
Karen earned her bachelor’s degree in Electrical Engineering at Pohang University of Science and Technology (POSTECH) and her first master’s degree in Management Engineering (with focus on Entertainment Industry) from Korea Advanced Institute of Science and Technology (KAIST) Business School. During her time at KAIST Business School, Karen performed in-depth data analysis on customer behavior across different movie platforms, which was recently published in a peer-reviewed SSCI journal: Telematics and Informatics.
Before joining UCLA Anderson, she also spent several years as business consultant and researcher at Samsung Economic Research Institute (SERI), the think tank of Samsung Electronics, and data analyst in Korea Institute of Science and Technology, the largest governmental research institute in Korea shaping the national research projects in all technology fields. Her professional strengths include a strong knowledge of enterprise data management and analysis, with global experience conducting data science analysis for corporate marketing, business operations, consulting, and customer behavior researches in IT and the entertainment industry.
Anna graduated from the University of California, San Diego in September 2017 with a B.S. in Mathematics especially in the area of Statistics and Probability. During her time in UCSD, she greatly developed her knowledge in mathematics, statistics and computing areas by numerical methods, probability, computational statistics classes, and programming projects.
Between her school years, Anna has completed several internships across different industries such as financial technology, private equity and consulting. She worked on data analysis including data collection from inner database (SQL Server), data cleaning, data visualization and building statistical by using Python and R. Having a good understanding in business field, she also examined financial data, developed financial, wrote equity research reports and contributed opinion articles which incurred thousands of views, provided customized insights and presented to the clients. These intern experience gave Anna a chance to apply her quantitative analysis skills and problem-solving skills, also built up her communication skills and team working skills.
Anna realized that it is essential for businesses to use the data effectively to inform their decisions across the board. In addition, this great demand strengthens her goal to learn how to grapple with the reality of big data using business analytics and pursue an MSBA degree at UCLA Anderson. During this program, Anna has found the Prescriptive Modeling and Data Management Courses especially exciting. She is looking forward to applying the cutting-edge analytics techniques in her future career.
Siyang Sun completed his Bachelor's at UCLA in Mathematics / Economics, with a Specialization in Computing. This degree introduced Siyang to a technical and deeply quantitative background, such as Algorithms, Numerical Methods, and Machine Learning, as well as a contextual understanding and curiosity for business. After realizing that data is essential to many challenges and solutions in the world, Siyang looked to apply his skill set to data science and analytics.
After completing his undergraduate education, Siyang worked at PatientPop, a rapidly growing healthcare SaaS company in Santa Monica. Working with the marketing team, Siyang performed various data and technology-related tasks, including data analytics and data engineering, and gained experience with Python, R, SQL, and ETL tools. Siyang developed pipelines to restructure, upload, enrich, and analyze data to aid in lead generation and to determine ways to improve marketing campaigns.
Having heard about the Masters in Business Analytics at UCLA Anderson, Siyang saw an opportunity to further specialize his skillset, as well as refine his business skills in a new and unique program. Siyang looks to apply his experience with machine learning and neural networks to industry. Beyond the models, he is interested in the use of storytelling to communicate data-driven insights and make decisions. Siyang is excited to continue his journey through data science in the MSBA program as part of the 2019 cohort. This summer, he will be joining Fair as a data science intern.
When he's not querying databases, building multilayer perceptrons, or communicating insights, Siyang enjoys painting and making music.
Jaden graduated from China University of Geosciences (Wuhan). Before MSBA, he has gained another master’s degree in Applied Economics at UCLA. He applied to the MSBA program because he is fascinated with the beauty in combining business ideas and data analysis skills.
Jaden has a strong sense of business because he is a young entrepreneur who initiated three projects which attracted attention and investment. He started the first project in the sophomore year during his college. He purposed an idea of door-to-door recycling service for college students and created six business models. He led the team consisting of 10 college students and promoted the project exponentially fast in Wuhan area in the first three months. Finally, they earned the bronze medal for National Innovation and Entrepreneurship Contest for Undergraduate, and $70,000 investment for seed round.
After two years, he grasped a promising opportunity at the early stage of the blockchain industry. Jaden summoned his network and grouped a professional team which has experts in finance, operations, technology, and design. He combined the idea of pan-entertainment IP design of celebrities and blockchain technology to build a strong business ecosystem which enables fans to closely interact with their favorite celebrities. This idea successfully raised $22,000,000 worth of investment.
One year ago, he started the second blockchain projects which focused on providing international blockchain services and value-based investment. Due to his efforts and contributions to the industry, he was acknowledged by the Blockchain Connect Conference, which is one of the most influential blockchain conferences in the U.S, and granted an award of 2018 Leading Blockchain Industry Pioneers.
Although he gathered a lot of experience in business, he is still looking for improving technical skills and pursuing demanding ability in using and analyzing data. He will be interning in Ticketmaster during summer 2019 as a data analyst in the Marketplace Performance Enhancement team. He believes that data-driven business would be everywhere.
Alec is a native Californian who graduated from the University of California, Santa Barbara in 2016 with a Bachelors in Economics and Accounting. In the San Francisco Bay Area, Alec was employed at a boutique accounting firm, where he specialized in audits of venture capital funds, and venture capital/private equity-backed companies. He received his Certified Public Accountant (CPA) license in July 2018. With his accounting background, Alec is excited to apply data analysis methods for extracting impactful decisions from financial and customer data.
Beyond classrooms and offices, Alec also conducts pro-bono consulting engagements for a non-profit organization seeking business strategy and development. Here he can utilize his knowledge and experiences to explore creative solutions for unorthodox problems.
This summer, Alec will be interning as a Decision Analytics Associate at ZS Associates, he hopes to help illuminate the data behind planning sales and marketing investments.
Alec is honored to be apart of the 2019 MSBA cohort and has been continually astounded by the achievements of his diverse classmates and Anderson faculty alike.
Sri Vamsi Voleti
Ever since childhood, Vamsi loved doing quick calculations, finding patterns and solving puzzles like Sudoku daily. This love for numbers and math guided Vamsi towards engineering. He completed his Bachelors and Masters of Technology in Ocean Engineering and Naval Architecture from Indian Institute of Technology (IIT) Kharagpur in 2017 at a young age of 20. As an undergraduate, he took part in various student leadership and mentorship roles on the campus. He gravitated towards the field of analytics when he learned the possible application of analytics to his research in the field of Wave Energy Converters.
The long hours of hard work that he put into his undergraduate had not only given him the satisfaction of having acquired knowledge but also gave him the determination to look beyond and broaden his outlook. Though his time had been well spent, he felt that it only gave him a tiny hint of the vast ocean of knowledge available. What he has seen and experienced had only aroused his curiosity and eagerness to explore greater depths.
While interning as the Trainee Hull Inspector at Hyundai Heavy Industries Co., Ltd Ulsan, South Korea, Vamsi understood the importance of management and business decisions in big industries and companies. Though his undergraduate courses enabled him to hone his analytical and programming skills and proficiency in Excel, MATLAB and Python, he felt that he needed a strong business foundation which is required to excel in his career path.
With this in mind, Vamsi joined the Master of Science in Business Analytics program at UCLA Anderson to further specialize his skillset, as well as refine the business skills that will enable him to turn data into business intelligence and leverage big data insights that companies need, to succeed in business. Vamsi is excited to work his way through the program along with his amazing cohort.
Shouzhi graduated from the University of California, Santa Barbara majored in Computer Science. Throughout undergraduate studies, Shouzhi has developed a solid background in database management and machine learning. While working as an intern at Tencent NLP research group, Shouzhi and his team worked on improving language system of the AI product and analyzing customer behaviors by interpreting mathematical models of large data sets and optimizing database. He then possessed great enthusiasm in exploring how data and analytics techniques can be utilized to drive real-world business decisions.
After joining the MSBA program at UCLA, Shouzhi has grown a comprehensive understanding of the role data analytics plays in making business strategies. He works at Systech Solutions, a technology consulting company as a part-time business analytics intern. Shouzhi focuses on developing Anomaly Detection use-cases and other marketing collateral by building up cloud solution Proof of Concept on Amazon Web Server for existing and prospective clients. His effort provides senior managers with a more efficient evaluation of clients’ demand and enhances the connection between Systech and clients.
During graduate studies, Shouzhi has led several group projects such as Adobe analytics competition and LA Capital marketing analysis. These collaborative experience inspired him to pursue a Project Management Certificate from UCLA and become a team leader. Shouzhi was also elected to be the student representative of MSBA program and admission. He is responsible for helping prospective students to understand what is business analytics and how to prepare themselves to be successful in the program.
Shouzhi will join MagicLinks as a business analytics intern during summer, a start-up company focuses on helping influencers connecting retailers. He aims to use his analytics skills to help MagicLinks identify business challenges, provide data-informed insights, and help the management team make data-driven business decisions.
Bi graduated from the Central University of Finance and Economics in China with a Bachelor’s degree in Economics. After graduation, Bi went to Boston College to pursue a Master’s Degree in Accounting. While studying at Boston College, she observed how companies misrepresent their revenue as a way to keep high profits and survive their competitive environment, while suffering from the huge risk of fraud that results in a huge economic and social loss. She later gained interest in becoming a data analyst to help companies realize higher profits in perfectly legal ways while leveraging her excellent problem-solving abilities.
Before attending UCLA, Bi had several internship experiences working as an analyst for companies including Société Générale and PwC. Last summer, Bi interned with Accenture as a Data Analytics Intern and engaged with a database management and analytics project. She used SQL and data visualization tools to help improve operational efficiency for a leading furniture company in China. This summer, she will be working as a Data Analytics Intern at Kite Pharma to help improve supply chain efficiency with the power of data.
Bi enjoys the MSBA program at UCLA Anderson, where she works with excellent peers from diverse backgrounds on multiple data-analytics projects. She develops her experiences in business, leverages her technical skills to solve real-world data problems, and learns the art of story-telling.
As an enthusiast in new technology and data analytics, Bi is always thinking of new ways of using technology with some data-analytics skills. Therefore, she is looking forward to working with companies that use the power of technology and data science to impact people’s lives.
Fei graduated from the University of California, San Diego (UCSD) with a bachelor’s degree in Applied Mathematics. Fei has developed interests in business analytics through coursework and individual projects. She wants to learn to derive useful information from data and to utilize the information intelligently in making faster and more effective decisions.
Fei is excited to be one of the MSBA Class of 2019 cohort at UCLA Anderson. She has enjoyed learning about prescriptive models, machine learning, and optimization courses. Also, he hopes to further develop her quantitative analysis skills. Her passion for business analytics drives her to dive deep into this area. Fei looks forward to the future opportunities where she can apply her skillset to contribute to the area.
Harper graduated from UC San Diego in 2018 with a Bachelor’s degree in Applied Mathematics. During her undergraduate studies, she continuously accumulated knowledge of math, statistics and computer science. She actively engaged in coursework such as model building and data analysis projects to combine quantitative theories with practical problems, which enabled her to realize the significance and trending of data analytics.
Harper interned at an asset management company for ten weeks back in China, where she worked in an alternate investment department making pricing decisions for upcoming real estate investment projects. With massive data to analyze and derive results, she saw how analytics tools and skills have been a very useful technique in the finance industry. During her weekly presentations, she also practiced interpreting technical results to the project manager and colleagues in business settings.
The graduate business analytics program at UCLA Anderson has helped Harper to be equipped with better analytics and communication skills as well as the practices to combine them. She is particularly interested in her courses including prescriptive model, optimization and data management and is actively seeking internships and full-time jobs that focus on utilizing related tools.
Lindsay graduated from Miami University in May 2018 with a bachelor’s degree in Statistics, and a minor in Actuarial Science. She owns extensive quantitative background in Statistics and 3+ years of analytics experience from more than 20 diverse data analytics projects in academic research, internet, finance, and marketing. This summer, she will intern at Vineyard Vines as a data scientist. As an intern, she will use the company’s rich datasets to support research and discovery around a variety of business questions. Also, she will develop novel methods and algorithms to be implemented in decision making for business leaders.
Lindsay also completed a science internship at Dentsu Aegis Network, where she applied her machine learning skills, statistics and business knowledge to corporate with both data engineers and product managers to help build a data management platform that will be used to deliver advertisements to multiple media platforms.
UCLA MSBA program has given Lindsay a comprehensive understanding and solid skillsets to solve real-world business problems by applying machine learning techniques and quantitative approach. Lindsay successfully builds a bridge between technology and business and has become a better story-teller by unitizing program’s resources to participate in multiple Data Science competitions, City of Los Angeles, Accenture and BCG GAMMA. Lindsay looks forward to solving more interesting data problems soon.
David graduated from Boston University with a Bachelor’s degree in Mathematics. During his undergraduate years, he has accumulated a solid foundation in mathematics and he found the nexus between mathematics and programming to be of great importance in building statistical models for data analytics. David joined the Master of Science in Business Analytics at UCLA Anderson for his continuous study in Data Analytics. He is fascinated by innumerable ways of machine learning and prescriptive modeling. He cannot wait to apply this knowledge in solving business problems and grow into a business analyst role upon graduation.
David made his first data analysis attempt while taking a college course about databases and data mining, building a regression model to determine the most significant factors that contribute to targeted values based on real-life data. Such experience not only improved his coding skills but also showed him how to better manage data and apply mathematical formulas to build and analyze models. He understood that analytics was the core behind-the-scenes player that turned superfluous data into meaningful insights.
David has been seeking opportunities to apply data analytics tools to solve real-world problems. He completed a summer internship as a product manager at a leading technology company. He was able to apply data analysis on his projects and was able to gain insights into effective ways to increase the click-through rate to targeted customer segments based on relative usage. He practiced his coding and data analytics skills to solve real business problems and became even more determined to acquire further knowledge of generating customer insights from data analysis.
David also became familiar with a wider range of business cases when he took an internship at leading accounting firms. Because of his realization of many of the solutions that Chinese companies deliver are not analytically-based, which make companies are more vulnerable to business. He hopes one day to use his growing expertise in data analytics to facilitate growth in the emerging Chinese financial technology industry by applying data analysis to risk management, navigating complex data for small and medium-sized companies, and help identify potential risks to help companies thrive in a competitive marketplace.
Amy graduated from the University of California, San Diego with a degree in joint Mathematics and Economics. During her undergraduate time, she most enjoyed applied math classes which apply theories and techniques, such as mathematical modeling and computational methods, to formulate and solve practical problems in business, government, engineering, and social sciences. With other classes, such as theoretical mathematics and econometrics classes, Amy gained a solid background for her future studies in the field of data analytics.
Amy first developed an interest in data analysis when she was working as a research assistant at UCSD, developing and revising a classification model which investigates how the Chinese government block websites based on the frequency of sensitive words toward the Chinese politics. This research experience gave her the understanding how the data science works and how critical it is to always remain objective, to be ready to eliminate any deviations, limitations, and defects and realize the responsibility of the data accuracy.
Amy also has a fervent research interest in investigating technology in terms of the future of human development. In pursuing that she has devoted her time in building a mathematical model investigating how current advancement of artificial intelligence will affect future labor.
Through MSBA program at UCLA Anderson, Amy is fascinated by the numerous applications of machine learning and artificial intelligence in many industries, such as experience innovation in the entertainment industry, personalized services in the travel industry and body scanning to check for vitals in healthcare.
Amy believes that statistics and data science is the future because they give hope for successful developments in projecting the future by summarizing the past, and for the confidence in the results of global stability based on accuracy. Going forward, Amy is excited to apply technical and business skills as a product/project manager in a consulting industry who takes part in different projects, which are connected with the technology industry, and media & entertainment.