Summary
Kenny Lee is a Senior Economist in New York with a decade of experience translating complex macro and high-frequency data into actionable housing-market insights. At StreetEasy he leads data-driven analysis that helps New Yorkers make confident renting, buying, and selling decisions, building on prior roles as a US Economist at Nomura where he developed forecasting and stochastic simulation models and published extensively on inflation, recession risk, and housing. He combines hands-on modeling in Python, R, EViews, and STATA with production-ready data pipelines and experience aggregating large, heterogeneous datasets during crises. Kenny holds an MS in Data Science from Columbia and a BA in Economics from NYU, pairing rigorous technical training with practical financial-market experience. An understated strength is his track record of turning research-grade models into clear public-facing narratives that inform both policy and consumer behavior.
10 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Economics with Honors, Minor in Business and Math, Bachelor's Degree, Economics with Honors, Minor in Business and Math at New York University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Columbia University in the City of New York