Shubham Banerjee is an Expert in Data Science with eight years of experience applying statistical modeling, simulations, and machine learning to banking, risk, and US healthcare payor problems at McKinsey & Company. He combines deep technical fluency in R, SAS, MATLAB, Python and C++ with hands-on experience in risk adjustment, economic modeling, and behavioral simulation to deliver data-driven solutions at scale. His background spans credit scorecard and loss forecasting work in financial services to complex healthcare payment reform and payer analytics, evidencing strong domain breadth. Known for turning large, messy datasets into actionable models, he focuses on marrying computational performance with sophisticated methodology. Based in Washington, DC, he brings an uncommon blend of engineering roots (electronic instrumentation) and dual training in economics that informs pragmatic, policy-relevant analytical approaches.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (BE) Electronics & Instrumentation , MSC Economics(Dual), Economics, Bachelor of Engineering (BE) Electronics & Instrumentation , MSC Economics(Dual), Economics at Birla Institute of Technology and Science
Contributions:8 commits, 7 pushes, 1 branch in 1 year
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