Elliot Henry is a data science leader with a decade of experience guiding analytics and machine learning across retail, digital, and market research. As Manager of Data Science at SPINS, he leads end-to-end ML solutions—from building a neural-network-based UPC/PLU categorization pipeline to deploying models via batch processing and FastAPI, complemented by automated reporting that keeps stakeholders informed weekly. His prior role as Senior Data Scientist at SPINS featured XGBoost-based conversion modeling, media mix forecasting in R Shiny, and customer profiling using diverse data sources. Earlier, he helped clients optimize campaigns and insights through analytics dashboards and churn and forecast models, with global implementations spanning China, Japan, and South Africa. He combines hands-on modeling with strategic storytelling, underpinned by an MS in Applied Data Science from The University of Chicago and a B.S. in Biochemistry and Molecular Biology from Dartmouth. Based in Chicago, he brings a unique blend of scientific rigor and practical product-focused delivery.
Swapify is a Jupyter notebook that uses Python to take a downloaded csv of paired e-mail addresses and Spotify playlist urls and then e-mails a random playlist to each participant. E-mails are sent through Microsoft Outlook
Contributions:11 PRs, 20 pushes, 7 branches in 7 months
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