Summary
Matt Oehler is a Senior Machine Learning Engineer with nine years of experience building data-driven solutions that automate reporting, generate insights, and inform profitable business decisions. Currently at Qlik, he progressed from R&D work on AutoML to a senior engineering role, bringing practical experience deploying ML into product settings. His background includes fraud detection and analytics at Progressive Leasing and applied research roles that span healthcare, recruiting, and sports performance modeling. Matt combines hands-on coding and pipeline automation with consulting experience, helping teams use data more efficiently for decision-making. He has a track record of turning large, messy datasets into actionable models—once processing over 100,000 volleyball touches with Markov-chain simulation—and enjoys solving the end-to-end problem from data ingestion to distributed reporting. Based in Eagle Mountain, Utah, he’s approachable and frequently collaborates across product and business teams to ensure ML work drives measurable outcomes.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Brigham Young University
English, Korean