Summary
Raman Shah is a Data Craftsman with 11 years of experience turning messy operations into measurable improvements for governments and financial institutions. He builds monitoring, custom tools, and capacity‑building programs that reduce noise, reveal root causes, and make analytics reliably actionable—work that earned production adoption at Capital One and led to million‑dollar model fixes. A former computational scientist with a Ph.D. in physical chemistry, he combines high‑performance numerical programming and Bayesian thinking with pragmatic software engineering (Python, R, SQL) to ship tested, installable tools and courses. Based in Providence, he routinely teaches analysts and engineers to level up their workflows, preferring co‑creation over one‑off deliveries. Notably, his approach replaces expert hand‑waving with reproducible statistical monitoring that scales across organizations.
11 years of coding experience
4 years of employment as a software developer
B. S., Chemistry, B. S., Chemistry at California Institute of Technology
Memorial High School, Houston, TX
M.S., Physical Chemistry, M.S., Physical Chemistry at University of Chicago