Summary
Freddie Sanchez is a senior data scientist with 11 years of experience applying statistical rigor and product-minded analytics across cyber, home, and life insurance at startups and Fortune 100 firms. He builds and deploys underwriting and pricing models, having driven measurable improvements like 10–15% better peril model loss ratios and $14M in retained assets through propensity modeling. Freddie excels at translating complex models into operational workflows—authoring pipelines that cut expected loss estimation from weeks to minutes and replacing fragile ML systems with robust rules-based scoring to improve underwriting KPIs. He has led cross-functional teams and managed mission-critical models (including a mortality model underwriting over $900M in coverage annually), balancing stakeholder alignment with technical delivery. Based in New York, he blends curiosity and clarity with a background in statistics and a track record of publishing industry research, making him a pragmatic bridge between data science, product, and underwriting. An often-overlooked strength is his knack for operationalizing models into business processes, not just improving metrics in isolation.
11 years of coding experience
11 years of employment as a software developer
Associate of Arts in Economics Anthropology Philosophy and Religious Studies, Associate of Arts in Economics Anthropology Philosophy and Religious Studies at Chaffey College
Master’s Degree Statistics Certificate in Statistical and Computational Data Science, Master’s Degree Statistics Certificate in Statistical and Computational Data Science at University of Massachusetts Amherst
University of California, Los Angeles