Siddhartha Kumar is a data analyst with nine years of experience blending research-grade machine learning and production analytics across healthcare, finance, and academic settings. He holds an MS in Computer Science from the University of Vermont, where he developed computer vision and cognitive computing projects—such as detecting mind-wandering from physiological signals—and built RL agents for efficient locomotion. At Optum he scaled readmission analytics on 95M+ claims/EHR records, automated ETL and Python pipelines to cut processing time by more than half, and delivered dashboards and data lakes that materially improved care coordination. Earlier at JPMorgan Chase he owned end-to-end analytics for financial reporting, optimizing SQL and BI workflows to enable near–real-time insights and stronger audit compliance. Siddhartha combines deep-learning toolkits (TensorFlow, PyTorch), cloud and ETL expertise (AWS, S3, SSIS), and hands-on systems work with semi-structured stores like MongoDB to move models into reliable production pipelines. He is notable for translating academic research into operational solutions that measurably reduce risk and latency in high-stakes environments.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Vermont
Bachelor of Science - BS, Computer Engineering (minor in Economics), Bachelor of Science - BS, Computer Engineering (minor in Economics) at Purdue University
Contributions:5 pushes, 1 branch in 3 years 4 months
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