Summary
Jitendra Subramanyam is a research and data science leader with nine years of focused experience building machine learning products, data strategy, and analytics best practices for enterprise clients. Currently a Research Leader at Gartner, he advises Chief Data Officers and translates complex technical approaches into business-impacting solutions. He has led ML and data strategy teams, taught machine learning to business audiences at Harvard Extension, and founded a boutique consultancy that grew revenue at 60% CAGR by turning ambiguous problems into concrete product roadmaps. Comfortable bridging research, product, and sales, Jitendra combines rigorous academic training (PhD-level work on determinism in quantum theory) with hands-on engineering and a taste for clear narratives—he literally reads, writes, code, repeat. Based in Santa Fe, he brings a customer-first perspective to technical leadership, frequently accelerating adoption by creating practical prototypes and training resources.
9 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Thesis: Determinism and Indeterminism in Quantum Theory, Doctor of Philosophy (Ph.D.), Thesis: Determinism and Indeterminism in Quantum Theory at University of Michigan
The University of Maryland, College Park