Summary
Nathan Cheever is an end-to-end data scientist and data engineering leader with 11 years of experience building analytics platforms and production ML at companies like AdvancedMD and Ancestry. He has a track record of turning analytics needs into centralized tooling—most notably designing and shipping a one-stop data portal that drives over 85% monthly company engagement. Comfortable across the stack, he’s delivered ETL at scale (NiFi, Hadoop/Hive), optimized Python pipelines (including Cython speedups), and shipped REST APIs and dashboarding solutions to democratize insight. Nathan pairs technical execution with people leadership, having managed data engineering, pipelines, and analytics teams while also creating training curricula for bootcamps. An NLP enthusiast and occasional speaker, he balances community-focused work (Editor & Publisher of a local paper) with hands-on engineering and product-minded data work.
11 years of coding experience
7 years of employment as a software developer
The University of Utah