Summary
Paul Zuradzki is a Lead Senior Data Science Engineer with eight years of experience building data platforms and analytics for healthcare payers, providers, and life sciences organizations. He blends deep domain knowledge in claims, risk scoring, HEDIS/MA Stars, and grouper methodology with hands-on engineering skills in Python, SQL, Airflow, and cloud-based ETL to turn complex payer/provider data into operational pipelines and decision-ready models. At Evolent and consulting engagements he drove large-scale data ingestion from 70+ payer sources and supported financial and contract modeling for managed care, while more recently leading data ingestion and engineering at Turquoise. He pairs machine learning and backend/API development (Django/FastAPI) with disciplined CI/CD, testing, and automation to deliver reproducible, auditable analytics for quality and value-based care programs. Based in Chicago, he combines business-facing project leadership with technical mentoring and documentation, and has a master’s in computer science that complements his finance and economics background. An uncommon strength is his ability to translate nuanced payer contract and grouper logic into scalable data products that directly support risk adjustment and care-quality interventions.
8 years of coding experience
5 years of employment as a software developer
Adlai E. Stevenson High School
College of Lake County
B.S., Finance and Economic Consulting (a.k.a., Business Economics), B.S., Finance and Economic Consulting (a.k.a., Business Economics) at Indiana University - Kelley School of Business
Master, Computer Science, Master, Computer Science at University of Illinois Urbana-Champaign
Polish, English