Summary
Uday Keith is a data science leader with 9 years of experience applying remote sensing, weather and geospatial analytics to solve Agri-Tech problems, now serving as VP, Data Science at Swiss Re. He has built crop identification and land-use ML systems, agricultural time-series forecasts and a novel agri-worthiness product that improved farmer credit assessment. His background spans startups and enterprise—driving productization at CropIn, ML delivery at Wipro, and portfolio steering at Swiss Re—blending hands-on modeling with strategic risk insights. Early roles in logistics and research sharpened his operational and policy-oriented perspective, enabling cross-functional execution between data teams, product and clients. Based in Bengaluru with a strong academic foundation from LSE and Sarah Lawrence, he combines geo-spatial expertise with practical experience turning satellite and weather signals into actionable risk products.
9 years of coding experience
7 years of employment as a software developer
University of Oxford
Woodstock School
London School of Economics and Political Science
Bachelor of Arts (B.A.), Mathematics and Political Economy, Bachelor of Arts (B.A.), Mathematics and Political Economy at Sarah Lawrence College
English, Hindi, Spanish