Garth Mortensen is a senior data scientist with nine years of cross-domain experience applying full-stack data engineering, machine learning, and NLP to finance and healthcare. He currently supports stress testing at the Federal Reserve Bank of Minneapolis and previously unlocked insights from 300k+ medical records to improve forecasting and revenue capture in payer settings. Garth blends hands-on automation (reducing report processing from minutes to seconds) with production-grade modeling and dashboarding, and has taught fintech Python bootcamps to over 250 lecture hours with strong student ratings. His background in economic reporting and investor relations gives him uncommon fluency translating complex models into clear narratives for executives and regulators. Curious and pragmatic, he also experiments with NLP and programmatic data extraction techniques—evidenced by entrepreneurial projects and contributions to graph database tooling in healthcare analytics.
9 years of coding experience
2 years of employment as a software developer
Bachelor's of Arts, Economics, Bachelor's of Arts, Economics at Hamline University
Portfolio
Master of Science, Finance, Master of Science, Finance at EDHEC Business School
Master of Science, Double degree, Software Engineering & Data Science, Master of Science, Double degree, Software Engineering & Data Science at University of St. Thomas
Contributions:3 commits, 2 pushes, 1 branch in 7 months
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