Alex Marvin is a Principal Data Scientist with 9 years of experience building prescriptive analytics and optimization solutions that turn complex data into business decisions. He has led end-to-end deployments across global enterprises—designing demand planning and inventory optimization at HP expected to save $100M, and scaling supply chain scheduling at Cargill across 25 plants and warehouses to cut costs and reduce waste. At BASF he developed industry-first carbon-transparency and multi-objective optimization tools (patents pending) and has a track record of embedding advanced optimization into business workflows, from Excel-integrated models to cloud-native applications. A chemical engineering PhD with deep operations research expertise, Alex combines rigorous modeling with software engineering practices (CI/CD, GitHub professionalization) to deliver production-ready decision support. He’s equally comfortable tackling quantum-assisted algorithm research as operationalizing scheduling that syncs in real time with SAP S4/HANA—bringing uncommon breadth from lab theory to billion-kg supply chains.
9 years of coding experience
11 years of employment as a software developer
BS, Chemical Engineering, 3.76/4.00, BS, Chemical Engineering, 3.76/4.00 at Tufts University
Contributions:42 releases, 1 review, 181 commits in 4 years 1 month
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