Anna Zeng is a Senior Data Scientist based in San Francisco with seven years of experience applying statistical and ML techniques across finance and consumer tech. She has led analytics and lifecycle optimization work at Visa and now drives data-driven product decisions at Meta, leveraging transaction- and event-level signals to improve acquisition, retention, and risk models. Trained in financial engineering and data science (Nankai University, SUEF, University of San Francisco), she blends quantitative rigor from financial risk modeling with practical production analytics and privacy-aware data engineering. She has hands-on experience with hypothesis testing, anonymization at scale, and building customer-facing dashboards, and is known for translating complex models into cross-functional impact. An uncommon strength is her track record of improving allocation effectiveness for multi-hundred-million-dollar loan portfolios, showing she can bridge high-stakes finance and consumer ML.
7 years of coding experience
3 years of employment as a software developer
Master of Finance, Financial Analysis, Master of Finance, Financial Analysis at Shanghai University of Finance and Economics
Bachelor of Economy, Financial Engineering, Bachelor of Economy, Financial Engineering at Nankai University
Master of Science, Data Science, Master of Science, Data Science at University of San Francisco
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