Adarsh Chavakula is an AVP-level data scientist with 11 years of experience building production-ready ML solutions for forecasting, information extraction, and risk modeling across finance and media. He has progressed through multiple senior analytics roles at Moody’s and a stint at Altice USA, combining quantitative engineering with pragmatic deployment (AWS SageMaker, Docker) to bridge engineers and end users. Early work at American Express and NBCUniversal sharpened his skills in rule-mining strategies and recommendation systems, while a Columbia MS in Data Science underpins his methodological depth. Known for translating complex financial problems into interpretable, deployable models, he brings both hands-on implementation experience and a practical focus on business impact.
11 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Madras
Master of Science - MS Data Science, Master of Science - MS Data Science at Columbia University
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