Jonathan Galsurkar is an applied researcher and data scientist with 11 years of experience building NLP and deep learning solutions that move from research prototypes to production at companies like eBay and Capital One. He holds a Master’s in Data Science from Columbia and a strong fundamentals background in mathematics and computer science from Hunter College, consistently reflected in top grades. Jonathan has driven semantic search and custom embedding work—earlier efforts at IBM scaled policy-document analysis for the UNDP—and now focuses on applied research problems that deliver business impact in e-commerce. He combines academic rigor (stochastic optimization and anomaly detection research) with hands-on engineering experience from startups to enterprise systems, including cofounding a C2C platform. Known for translating complex models into usable systems, he also teaches and mentors, bringing clarity to both code and classroom.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree, Data Science, 3.97, Master’s Degree, Data Science, 3.97 at Columbia University in the City of New York
Bachelor’s Degree, Mathematics and Computer Science, 3.90, Bachelor’s Degree, Mathematics and Computer Science, 3.90 at Hunter College
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