Student, Berkeley DS
2020 — 2024
Bachelor's degree in Data Science (Cognition emphasis) + Public Policy minor. 7x Honors to Date scholar, 2x Dean's List.
About Me
Hey! I’m Bella Chang (she/her) 👩🏻💻 ,
a Master’s student at New York University’s Center for Data Science. This past May, I graduated from UC Berkeley’s College of Computing, Data Science and Society with a Bachelor’s in Data Science (Cognition emphasis) and minor in Public Policy.
I am fascinated by our society’s chronic production of data and the insights they reveal about human thinking, behavior, and larger systems. My career goal is to develop models and technologies that are not only innovative but also explainable and accessible, ensuring they truly serve people. I aim to prioritize human needs and well-being over simply advancing technology for its own sake.
Programming Skills
Python
90%
SQL
90%
Java
75%
ExcelVBA
50%
Other Skills
Jupyter
90%
MongoDB
50%
Data Engineering Fellow, Coding it Forward (US Census Bureau)
2022 — 2022
Selected from an applicant pool of over 10,000 students with a 12% admission rate for the Coding it Forward fellowship, a nonprofit fellowship that connects young technologists to government organizations to improve public interest technology. Worked as a data engineering intern for the Demographics & Economic Studies branch in the US Census Bureau, moving the International Database (the main database storing demographic information for 200+ US countries and territories) into a SQLite format using R.
Data Analysis & BI Intern, NerdWallet
2023 — 2023
Created a new saturation curve model predicting return on revenue from spend on live marketing campaigns in the Banking vertical, with an MAPE of 13%. Conducted a full audit on NerdWallet’s DMA (designated market area) mapping to user location in contrast to Google Ads, revealing a monthly revenue impact of >$2 million. Assessed the use of ad platform SA360’s bidding campaigns in comparison to Google Ads’ through Bayesian time series analysis and causal impact, saving ~2-4% in overall marketing spend.
Data Science Research Intern, Allos AI
2024 — 2024
Developed Python algorithm for discovery of causal patterns in medical data using techniques based on and expanding upon known causal discovery algorithms. Remodelled internal tools for analysis of data using causal inference techniques for new app interface.
Student, NYU DS
2024 — present
Pursuing my Master's degree in Data Science at NYU Center for Data Science.