Summary
Jessie Han is a data scientist with 12 years of experience specializing in machine learning, analytics, and AI platform development, currently leading AI platform initiatives at Wayfair from Greater Boston. With an M.Eng in Electrical and Computer Engineering from Cornell Tech and a background at Shanghai Jiao Tong and the University of Washington, she blends strong engineering fundamentals with production ML and analytics experience. Over several roles at Wayfair she has moved from web and business intelligence to advanced analytics, fraud detection, growth, and platform-level AI, demonstrating versatility across the ML lifecycle. Jessie is comfortable translating product and business signals into measurable experiments and robust models that scale across app and fintech use cases. She has a track record of evolving responsibilities quickly, suggesting both technical depth and the ability to influence cross-functional teams. Outside obvious metrics work, her career shows a pattern of building infrastructure and tooling that accelerates other data teams rather than just delivering one-off models.
12 years of coding experience
2 years of employment as a software developer
Electrical and Electronics Engineering, Electrical and Electronics Engineering at University of Washington
Master of Engineering - MEng Electrical and Computer Engineering, Master of Engineering - MEng Electrical and Computer Engineering at Cornell Tech
Bachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Shanghai Jiao Tong University
English, Chinese