Class of 2021

Photo of Chengcheng Chelsea Zhang

Chelsea graduated from University of California, Los Angeles (UCLA) in 2020 with double majors in Statistics and Economics. Through her undergraduate studies, Chelsea was introduced to theoretical statistics, machine learning algorithms, as well as various programming languages. During her time at UCLA, Chelsea had the opportunity to participate in the Undergraduate Research Scholars Program (URSP), where she worked on a project to perform probabilistic record linkage on historical samples of Native Americans from the 1920s, 1930s, and 1940s decennial population censuses by incorporating household structures. Besides her quantitative background, Chelsea also possesses a curiosity towards people, which shapes her interest in using quantitative methods to solve real-world problems. 

Chelsea’s internship experience ranges from risk management at Deloitte to data science at a tech startup. Chelsea realized her interest in data analytics in the summer of her junior year, where she interned at an online programming education startup in the Bay Area. The startup environment allowed her to take initiatives and explore a wide variety of works, ranging from user behavior analysis and backend script development to product management. Chelsea was particularly interested in how users would interact with products and how to improve their experience. Through massive data mining, she found out a strong practice pattern among top performed users in the interactive coding platform, and these findings eventually led to the launch of two new features including a “trending” mark and a personalized practice history dashboard, where new users can be advised based on analysis of previous user data. She also built machine learning models to predict user’s repurchase propensity and helped the marketing team to target a previously overlooked cohort of customers for advertisement. This internship experience, together with her studies at college, convinced Chelsea that analytics is the field that best integrates her skills and passions. 

Chelsea will further develop her analytical skills, explore more advanced techniques, and gain practical experience to become a more competent problem solver through the MSiA program. She looks forward to further her interests in user behavior and product analytics, and using her skills and knowledge to surface actionable insights and drive wiser decisions.