Summary
Kevin Feasel is a data scientist with 11 years of experience building data platforms and applied ML for healthcare and e-commerce, currently practicing at Newport News Shipbuilding and delivering Azure-focused Data + AI training through Solliance. He blends deep SQL Server, R, F#/.NET, and Python expertise with a formal economics background, giving him strong grounding in regression and statistical modeling as well as practical production engineering. Kevin has led predictive analytics teams to deploy forecasting, anomaly detection, and churn models as microservices, and as a longtime DBA he’s repeatedly optimized warehouses and ETL for multi-billion-row systems. An inveterate public speaker and author of PolyBase Revealed, he’s presented worldwide and builds workshops that translate cloud-native big data patterns into actionable training. Outside day-to-day work he runs an ISV (Catallaxy Services), serves as CTO at a startup, and has a knack for turning operational pain points into automated tooling and training.
11 years of coding experience
10 years of employment as a software developer
M.A. Economics, M.A. Economics at The University of Freiburg
B.S. Computer Information Systems German, B.S. Computer Information Systems German at University of Dayton
English, German