Evan Agovino is an analytics engineer in New York with nine years of data-focused experience, blending hands-on modeling with product-minded analytics work across fintech and marketing teams. He has progressed from underwriting and marketing analytics into senior data science and data lead roles at Stash and Mighty, and now drives analytics at Butter Payments, applying both R and Python to production problems. His background includes teaching applied statistics and completing a Metis data science bootcamp, reflecting a commitment to both rigorous methods and practical skill-building. Comfortable translating business questions into robust statistical solutions, Evan also maintains a public portfolio that showcases projects and reproducible analyses. A not-so-obvious strength is his cross-functional early-career experience in operations and marketing, which informs his ability to align technical work with user and business needs.
9 years of coding experience
4 years of employment as a software developer
Data Science Bootcamp, Data Science Bootcamp at Metis
M.A.S., Applied Statistics, M.A.S., Applied Statistics at Penn State University
B.A., Economics, B.A., Economics at Boston University
Contributions:83 pushes, 2 branches in 3 years 6 months
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