Dan Garant is a data science leader with 13 years of experience applying machine learning and causal inference to complex operational problems, currently heading Data Science for Underwriting at MassMutual. He has progressed from graduate research at UMass Amherst into industry roles solving supply chain and insurance challenges, including lead data scientist positions at C&S Wholesale Grocers and MassMutual. Dan blends academic rigor with product-focused delivery, translating causal models and ML into production systems that improve decision-making across underwriting and logistics. Based in Keene, NH, he pairs deep technical chops in modeling with a background in software development and systems support, giving him a practical edge when moving prototypes to scale.
13 years of coding experience
13 years of employment as a software developer
BS Computer Science BA Mathematics, BS Computer Science BA Mathematics at Keene State College
MS Computer Science, MS Computer Science at University of Massachusetts Amherst
Contributions:19 pushes, 1 branch in 4 years 2 months
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