Summary
Matt Ignal is a Senior Data Scientist with a decade of industry experience who blends practical machine learning engineering with product-first thinking to drive content discovery and revenue optimization. At TeePublic he led a Generative AI program and built semantic search and bot-detection systems, while prior roles at WWE and Hedgeye applied topic modeling, forecasting, and customer LTV/affinity models to influence creative and commercial decisions. He has hands-on experience deploying CNNs and R-CNNs for visual classification, automating analytics workflows in Python/R and SQL, and translating insights into measurable growth—evidenced by a 200% YouTube channel expansion earlier in his career. Based in Westchester, NY, Matt pairs a nontraditional academic background in philosophy with rigorous technical craft, which surfaces in his focus on interpretable models and pragmatic automation that reduce fraud and improve discoverability.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Philosophy, Honors Program, Bachelor's degree, Philosophy, Honors Program at University of Connecticut