Summary
Scott Onestak is a senior analytics consultant and data scientist with a decade of experience turning messy consumer financial data into actionable business insights. He has built foundational household-level data labs and pricing/retention models at major banks, driving decisions around CLV, NPV, and targeted marketing. Scott combines strong econometrics and data engineering skills—automating scrapers, rate-evaluation pipelines, and updateable tooling—to close the loop between analysis and deployable processes. He’s adept at identifying model shortcomings and shipping pragmatic fixes that materially improve risk and pricing outcomes. Based in Pittsburgh, he maintains an active GitHub and a habit of experimenting with messy datasets to make the complex interpretable. Collected experience across card, home equity, and portfolio analytics gives him a rare blend of product-focused analytics and compliance-aware execution.
10 years of coding experience
6 years of employment as a software developer
The University of Sydney
Bachelor of Arts - BA, Economics and Data Science, Bachelor of Arts - BA, Economics and Data Science at University of Rochester