Suraj Regmi is a Senior Data Scientist with nine years of experience applying machine learning and large-scale data engineering to healthcare and development problems, currently driving analytics at Blue Cross and Blue Shield through Health Care Service Corporation in Chicago. He has a proven track record of turning data into impact—designing a claims-flagging ML system that helped recover $2.1M per year and improving duplicate-claim detection F1 by 17%—and previously processed hundreds of gigabytes of mobility data for The World Bank to inform policy and poverty estimation. His background spans deep learning (U-Net contrail segmentation for NASA research), Spark-based pipeline development (pymobility), and production-focused analytics, blending research rigor from an MS in Computer Science with hands-on engineering. An occasional technical writer and mentor, Suraj has published pieces on data science and trained cohorts on Python and ML, reflecting a taste for communication and capacity building beyond model development. Colleagues describe him as a pragmatic problem-solver who connects domain knowledge, scalable pipelines, and measurable outcomes.
9 years of coding experience
7 years of employment as a software developer
High School Science, High School Science at Goldengate International College
Bachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at Visvesvaraya Technological University
School Leaving Certificate, School Leaving Certificate at Newton High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The University of Alabama in Huntsville
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