Summary
Nolan Winkler is a visualization developer and Python trainer with 11 years of experience translating complex healthcare and education data into actionable insights. He combines strong quantitative training—a BA in Mathematics with a CS minor from the University of Chicago—with production experience in SAS, R, SQL, Python, JavaScript, and PostgreSQL to build interactive visualizations and publishable analytic pipelines. At Acumen he has led small teams, run training programs, and driven fraud-detection and Medicare reporting work, including making large public datasets suitable for clinician-facing portals. Nolan’s background as an educator and volunteer canvasser informs his clear communication style and commitment to social-good applications of data science. He’s co-authored peer-reviewed public health analyses and has a track record of turning messy EMR and public data into validated, reproducible results. Practical, methodical, and teaching-oriented, he excels at bridging research-quality statistics and production-ready tooling.
11 years of coding experience
2 years of employment as a software developer
Study Abroad focusing on Mathematics Education, Study Abroad focusing on Mathematics Education at Budapest Semesters in Mathematics Education
High School Diploma, High School Diploma at Loyola Academy
Bachelor of Arts (B.A.) Mathematics with minor in Computer Science, Bachelor of Arts (B.A.) Mathematics with minor in Computer Science at University of Chicago
French, English, Spanish, magyar (hungarian)