Summary
Shreyas Kulkarni is a Senior Data Scientist with eight years of experience building ML and NLP solutions for large-scale retail and analytics teams, currently at Walmart Global Tech. He combines a strong academic foundation (MS in Data Science from University at Buffalo) with practical expertise in Python, R, PySpark, Hadoop/Spark ecosystems and production databases like MySQL and MongoDB. His background spans research-grade distributed learning—having built gossip-based distributed neural solvers—and hands-on engineering of streaming analytics and recommendation systems. At Fractal Analytics and prior internships he delivered bucketization and frequent-pattern algorithms and even published a pip-installable Python package for bucketing integer arrays. Comfortable bridging research and product, he repeatedly reduces computation time while preserving accuracy and scales prototypes into production pipelines. Based in Bentonville, he brings a pragmatic mix of statistical rigor, software engineering, and open-source curiosity to solve real-world data problems.
8 years of coding experience
8 years of employment as a software developer
Engineer’s Degree, Computer Engineering, Engineer’s Degree, Computer Engineering at Pune Institute of Computer Technology
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University at Buffalo