Summary
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Rockstar🎓
Top SchoolAjinkya Kokandakar is a Scientist II at Uber and a PhD candidate in Statistics at the University of Wisconsin–Madison with 11 years of experience bridging industry data science and academic research. His work centers on causal inference, sequential decision making, and machine learning, with practical experience applying Bayesian nonparametrics to large-scale healthcare evaluations. He has a strong teaching and consulting background, having supported over 15 clients on experimental design and taught multiple statistics and ML courses. Earlier roles include building telemetry and analytics systems at Infosys and research on mechanism design at Duke, reflecting a blend of production engineering and rigorous theory. Based in San Francisco, he brings a track record of turning complex causal problems into actionable analyses for product and policy settings. An often-overlooked strength is his cross-disciplinary training in economics, computation, and computer science, which informs his pragmatic approach to heterogeneous treatment effect estimation and transfer learning.
11 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Wisconsin-Madison
Master of Science - MS, Economics and Compuatation, 3.87/4, Master of Science - MS, Economics and Compuatation, 3.87/4 at Duke University
English, Marathi, Hindi