Summary
Kyle Polich is a data scientist, podcaster, and founder who has spent 12 years building both audience-facing content and production-grade data solutions from Los Angeles. As the host and creator of Data Skeptic and a guest host on Software Engineering Daily, he translates complex machine learning and statistics into engaging, accessible narratives while running a boutique consultancy that designs and deploys cloud-scale data systems for SMEs. His hands-on background includes leading algorithmic teams at Dex One and uSamp, where he delivered high-impact forecasting, supply-chain optimization, dynamic prediction services, NLP integrations, and automated PPC systems that unlocked measurable margin and cost savings. He pairs advanced academic training in AI and computer science with practical product instinct—equally comfortable prototyping research-driven models and operationalizing them for reliability and scale. Notably, he blends audience-building with technical delivery, making him adept at turning technical insights into both business value and popular education.
12 years of coding experience
7 years of employment as a software developer
MS Artificial Intelligence, MS Artificial Intelligence at University of Illinois Chicago