Summary
Grant Andersen is a Data Scientist IV with eight years of experience blending traditional ML, deep learning for vision and NLP, and pragmatic software engineering to deliver production healthcare analytics. Based in Nashville, he has advanced through roles at Trilliant Health and Express Scripts building OCR/CV pipelines, NER systems, and cloud-deployed Flask APIs that bridge research and operational products. He holds dual graduate degrees (MBA and MS in Business Analytics) and pairs quantitative rigor with a humanities background in English Literature, which helps him communicate complex findings to nontechnical stakeholders. Notable outcomes include an optimization model that increased daily film showings by 10% in grad school and end-to-end prescription fax extraction systems that supported real-world deployment and technician-bootstrapped NER training. Colleagues describe him as a hybrid software engineer/data scientist who prioritizes practical, measurable impact while continuously expanding his technical toolkit.
8 years of coding experience
7 years of employment as a software developer
Master of Business Administration (M.B.A.) and Master of Business Analytics (M.S.B.A.) Business Administration and Management General, Master of Business Administration (M.B.A.) and Master of Business Analytics (M.S.B.A.) Business Administration and Management General at Haslam College of Business at the University of Tennessee
Bachelor of Arts (B.A.) English Literature, Bachelor of Arts (B.A.) English Literature at Belmont University
Bachelor of Arts (B.A.) English Literature, Bachelor of Arts (B.A.) English Literature at University of Tennessee, Knoxville
English, Spanish