Summary
Amy Lee is a data scientist with 12 years of experience translating complex business problems into production-ready models and data products across financial services, tech, real estate, and marketing. Based in the San Francisco Bay Area, she builds ML solutions from anomaly detection and NLP to topological data analysis, and has led projects for FDIC bank-health prediction, consumer lending, and AML applications. Her background spans hands-on engineering—large-scale web crawling, Spark ETL, and AWS operations—to strategic analytics work at Google and Morgan Stanley, enabling cross-functional decisions with rigorous modeling. Amy combines graduate-level ML training (Georgia Tech, Harvard) with real-world product delivery at companies like C3.ai and Airbnb, where she handled 15M-rating regressions and experiment analysis. Notably, she pairs domain fluency in finance with practical software craftsmanship from her Hackbright training, making her adept at both prototyping and operationalizing models.
11 years of coding experience
9 years of employment as a software developer
Hackbright is an immersive software development fellowship, Hackbright is an immersive software development fellowship at Hackbright Academy
Study Abroad, Study Abroad at Beijing University - Institute of Chinese Language Studies
Bachelor of Science (B.Sc.), Finance, Bachelor of Science (B.Sc.), Finance at University of Pennsylvania - The Wharton School
Bachelor of Arts (B.A.), Asian & Middle Eastern Studies, Bachelor of Arts (B.A.), Asian & Middle Eastern Studies at University of Pennsylvania
Masters of Computer Science, Machine Learning, Masters of Computer Science, Machine Learning at Georgia Institute of Technology
Master’s Degree, Computational Science & Engineering, Master’s Degree, Computational Science & Engineering at Harvard University
Chinese, English