Naman Doshi is a Senior Data Scientist based in San Francisco with a decade of experience turning payments, fintech, e-commerce, and mobility challenges into data-driven products. He combines a data-first product mindset with rigorous experiment design, causal inference, econometrics, and storytelling to influence product strategy and growth. At Uber he has progressed through multiple senior data roles, and previously helped scale KBZPay to millions of users and billions in transactions while working closely with executive leadership. He also prototyped an ML-driven personalization product that contributed to rapid user adoption and VC-backed growth at Sarva. Comfortable moving models into production and communicating impact to cross-functional teams, he maintains a public portfolio that showcases applied analytics and product-focused experimentation. A pragmatic problem-solver, he often blends statistical rigor with business context to uncover non-obvious levers for growth.
Scorey - Scraping, aggregating and assessing technical ability of a candidate based on publicly available sources
Contributions:6 commits, 6 pushes, 1 branch in 2 years 9 months
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