Summary
Elliot Henry is a data science manager with five years of focused industry experience building production ML systems and analytics for retail and operations. At SPINS he progressed from senior data scientist to manager, owning an ML pipeline that classifies UPCs/PLUs with multi-input neural networks and deploying models via batch processes and FastAPI endpoints. He combines statistical rigor (time series, ARIMA/Prophet, clustering) with practical product delivery—automating reporting workflows and embedding models into business processes for weekly retailer reporting. Earlier roles span digital analytics, media mix optimization, and large-scale customer segmentation, giving him a strong cross-channel perspective on customer behavior and media ROI. Trained in biochemistry at Dartmouth and with an MS in Applied Data Science from the University of Chicago, he brings a scientific, experiment-first mindset to messy commercial data. Colleagues would note his knack for translating ethnographic and lab-style research instincts into scalable analytics that inform merchandising and operations.
5 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Biochemistry and Molecular Biology, Bachelor's Degree, Biochemistry and Molecular Biology at Dartmouth College
Master's Degree, Master of Science in Applied Data Science, Master's Degree, Master of Science in Applied Data Science at The University of Chicago
English, Spanish