Summary
Dharmik Bhatt is a Senior Data Scientist with seven years of experience applying machine learning, operations research and causal/Explainable AI to commercial problems across financial services, pharma and retail. He has driven end-to-end solutions at firms such as Oliver Wyman, McKinsey’s QuantumBlack, and ZS—ranging from deposit pricing and PD/EWS models to sales and supply-chain optimization using deep learning and mixed-integer programming. Comfortable working at the intersection of modeling and decision-making, he has built scalable graph-ML and OR products operating across millions of nodes and published research on CNN-based fringe pattern denoising. Based in India and preparing for an MS in Data Science at UT Austin, he combines consulting impact with hands-on technical delivery and a knack for translating complex analytics into actionable commercial strategy.
7 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at The University of Texas at Austin
Bachelor of Technology - BTech, Electrical Engineering, 9.09 CGPA, Bachelor of Technology - BTech, Electrical Engineering, 9.09 CGPA at National Institute of Technology Surat