Matt Schumwinger is a data consultant and founder with over a decade of hands-on experience turning complex quantitative problems into clear, actionable stories for advocacy organizations. As owner of Big Lake Data he builds custom data pipelines, analytic tools, and persuasive visualizations, and holds a Stanford graduate certificate in Data Mining and Applications. He co-founded and served as CTO of Driver's Seat Cooperative, where he led spatial data and ML initiatives to give gig workers agency over their own data—an uncommon blend of technical craft and social impact. Based in Milwaukee, he pairs an Industrial and Labor Relations background from Cornell with practical data engineering skills, frequently bridging policy questions and machine learning to help communities make fairer decisions.
11 years of coding experience
3 years of employment as a software developer
B.S. Industrial and Labor Relations, B.S. Industrial and Labor Relations at Cornell University
Data Mining and Applications Graduate Certificate, Data Mining and Applications Graduate Certificate at Stanford University
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