Summary
Murugesan Ramakrishnan is a senior data scientist with 11 years of experience applying ML, NLP, and computer vision to drive product and revenue impact across e-commerce, ads, voice, and healthcare. He has led high-impact initiatives at Meta and Amazon—driving a $20M incremental revenue impact for messaging ads and improving Alexa ASR for underserved cohorts—while architecting production recommendation and search systems at Chewy. Comfortable across the stack, he builds and deploys models in Python/R, leverages AWS and MLOps tools, and has a track record of pragmatic solutions (98% fuzzy-match accuracy, SKU optimizations that increased sales ~8–10%). His research work in deep learning and an MS in Data Science from UVA complement hands-on experimentation with production A/B testing and metric-driven decision making. Outside of work he pursues independent NLP and vision projects and enjoys hiking, a habit that mirrors his data-driven curiosity for uncovering patterns at scale.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Electronics and Communications Engineering, Bachelor's degree Electronics and Communications Engineering at College of Engineering, Guindy
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Virginia
English