Summary
Ravi Shekhar is a Senior Data Scientist with 11 years of experience applying machine learning and large-scale data engineering to cybersecurity, retail, and climate science. Based in New York, he has built production ML systems for bot and fraud detection at HUMAN, designed GCP-backed pricing and demand forecasting pipelines for Macy’s, and processed multi-TB climate datasets during a Ph.D. in Geophysics at Yale. He combines deep statistical modeling and time-series expertise with hands-on production engineering—shipping near-real-time detection and recommendation services. Comfortable interfacing with product and business stakeholders, he’s also mentored PhD-level data scientists and influenced cross-functional decisions during crises like COVID-driven retail shifts. An uncommon strength is his physics-to-production trajectory: applying high-performance simulation and scientific-data workflows to commercial ML problems.
11 years of coding experience
13 years of employment as a software developer
M.S., High Energy Physics, M.S., High Energy Physics at Duke University
Bachelor’s Degree, Physics Engineering, Bachelor’s Degree, Physics Engineering at Case Western Reserve University
Doctor of Philosophy (Ph.D.), Geophysics (Atmospheric Sciences), Doctor of Philosophy (Ph.D.), Geophysics (Atmospheric Sciences) at Yale University