Summary
Austin Schwinn is a data engineer with a decade of experience building data products and bridging technical and stakeholder needs across startups, nonprofits, and enterprise teams. He has led full-stack data work—from hands-on engineering to customer-facing strategy—most recently at InterWorks and previously as Director of Strategic Relationships at Exaptive. His projects include designing pandemic-era metadata standards with the Gates Foundation and Oxford to speed clinical research access, and creating visualizations and recommendation systems for the EU’s climate innovation initiative. He brings an unusual blend of machine learning training (MCS in ML & Data Mining) and business-facing experience from founding a digital marketing consultancy and teaching advanced analytics. Comfortable switching between “in the forest” technical execution and “30,000-foot” leadership, he also has a track record of turning customer stories into product improvements and persuasive demos. Based in Oklahoma City, he pairs tenacity and optimism with a knack for uniting diverse collaborators to solve complex data problems.
10 years of coding experience
5 years of employment as a software developer
Master of Computer Science, Machine Learning and Data Mining, Master of Computer Science, Machine Learning and Data Mining at University Jean Monnet
Bachelor of Business Administration (BBA), Finance, Bachelor of Business Administration (BBA), Finance at Oklahoma City University