Summary
Hatim Kagalwala is an applied scientist with nine years of experience building data-driven products and decision systems across finance and e-commerce, currently scaling seller insights at Amazon. He combines an MS in Financial Engineering from NYU and a strong data-science training path (UCSD, Georgia Tech, WorldQuant) to translate business problems into forecasting, pricing, and risk models that drive measurable outcomes. Prior roles at American Express and a fintech lender show depth in credit, fraud, CCAR, and pricing strategy, while earlier quant work reduced P&L variance by 98% through advanced option hedging. Hatim blends hands-on Python engineering, automated reporting and alerting, and Tableau visualization with stakeholder-facing product sense, enabling faster decisions for commercial teams. He’s based in Seattle and known for pairing rigorous academic methods with pragmatic automation to operationalize ML in production.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering, 3.7/4.0, Bachelor’s Degree, Mechanical Engineering, 3.7/4.0 at University of Mumbai
Master’s Degree, Financial Engineering (Data Science), 3.7/4.0, Master’s Degree, Financial Engineering (Data Science), 3.7/4.0 at New York University
Bootcamp, Data Science, Bootcamp, Data Science at WorldQuant University
University of California, San Diego
Junior College, Science, Junior College, Science at St. Xavier's College
Online MicroMasters, Analytics, Online MicroMasters, Analytics at Georgia Institute of Technology
English, Hindi, Gujarati