Summary
Sean Fronczak is a senior data scientist with 11+ years bridging computational research and industry, now focused on delivering production-ready ML and experimentation systems. He has built end-to-end solutions from ETL and feature pipelines to deployed forecasting and LTV/churn models, and recently led revenue forecasting and multi-model deployment frameworks at Indeed. Equally comfortable in startups and academia, he’s launched agentic LLM-powered job search tooling and founded ML engineering for high-frequency trading, combining statistical rigor with real-time engineering. His PhD in chemical engineering underpins a quantitative mindset applied to causal inference, experimental design, and novel signal extraction (e.g., IMU posture classification and AFM measurement tools). Known for translating complex methods into stakeholder-ready products, he thrives on constrained, high-impact projects that require both scientific depth and practical deployment.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at Purdue University
Bachelor of Science, Engineering Science, Bachelor of Science, Engineering Science at Trinity University
English, Spanish