Summary
Andrew Yaspan is a data scientist with 11 years of experience applying pragmatic analytics, ETL engineering, and ML-friendly tooling to public-sector health and policy problems. He has built automated ETL pipelines and interactive dashboards using Python, R, SQL, PySpark/Databricks and Amazon analytics tools to inform program decisions at CMS and now at the City of Seattle. His work spans natural language processing for clinical data, deidentification and data linkage for IRB‑approved research, and operationalized monitoring that supported investigations into inappropriate antipsychotic use in nursing homes. Comfortable translating between technical teams and program leadership, he has a strong policy analytics background from a Computational Analysis and Public Policy MS and a track record of turning siloed data into actionable, auditable insights. An early-career path rooted in community health outreach gives him uncommon empathy for deploying analytics that directly affect vulnerable populations.
11 years of coding experience
7 years of employment as a software developer
Master of Science in Computational Analysis and Public Policy Computer Science and Public Policy, Master of Science in Computational Analysis and Public Policy Computer Science and Public Policy at Harris School of Public Policy at the University of Chicago
Bachelor's Degree Political Science and Government, Bachelor's Degree Political Science and Government at Bucknell University
High School Diploma, High School Diploma at Scarsdale High School
English, Spanish, Czech