Anuraag Ramesh is a data scientist with eight years of experience who combines academic rigor from a University of Michigan MS in Data Science with practical policy-focused analytics at the Gerald R. Ford School of Public Policy. He specializes in automating data workflows—most recently building fuzzy-matching pipelines to reconcile researcher records—and moves models and processes from prototype to repeatable production use. Comfortable across roles as analyst, engineer, and programmer, he has interned in industry settings (Big Data BizViz, Rockwell Automation) that sharpened his applied machine learning and data engineering skills. Based in the United States, he is actively seeking full-time opportunities where he can scale data solutions and reduce manual data curation overhead.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Master's degree at University of Michigan
Till XII, Till XII at Green Fields School - India
Bachelor of Technology - BTech, Bachelor of Technology - BTech at VIT_Vellore Institute of Technology
Contributions:2 PRs, 9 pushes, 1 branch in 10 months
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