Xavier Capdepon is a Senior Data Scientist in New York with 11+ years blending quantitative finance, applied mathematics and production machine learning across trading desks, startups and enterprise products. He’s a Kaggle Competitions Master (solo Gold, top ~120 in 2020) who pairs contest-grade time-series and forecasting expertise with hands-on prototyping and deployment experience in Python, Spark and AWS. His background as a structurer/trader at Guggenheim and other banks informs pragmatic risk-aware modeling—he’s automated reconciliation and reduced operational effort by 90% in prior roles. Xavier has led ML teams and built production systems across retail, energy and advertising (including in-store checkout computer vision and ad-impression analytics for LinkNYC). Comfortable briefing C-level audiences and teaching technical teams, he balances deep algorithmic work with clear communication. An under-the-radar strength is his track record of turning financial domain complexity into robust engineering prototypes that scale to business needs.
11 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.), Master of Science (M.Sc.) at Ecole des Ingénieurs de la Ville de Paris
NYC Data Science Academy
MS Finance (Corporate Finance track), MS Finance (Corporate Finance track) at EM Lyon
Contributions:32 pushes, 3 branches in 3 years 6 months
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