Summary
Yvonne Han is a senior data scientist in New York with over a decade of experience building end-to-end ML and generative AI solutions at large enterprises including Amazon and JPMorgan Chase. She has led analytics and sales-science teams, translating complex finance and business problems into production-ready models and scalable data products. Comfortable at the intersection of research and engineering, she pairs rigorous statistical foundations (yes, she still likes linear regression) with modern ML deployment practices. Her background spans market intelligence, finance, and media, giving her a knack for turning noisy, cross-functional data into actionable insights. Trained at Johns Hopkins with a BBA from Zicklin—and a surprising creative sidestep through Juilliard’s Evening Division—she blends quantitative depth with uncommon interdisciplinary curiosity.
10 years of coding experience
9 years of employment as a software developer
Johns Hopkins University
Evening Division - Non Degree Program, Evening Division - Non Degree Program at The Juilliard School
BBA, BBA at Zicklin School of Business
Chinese, English