Summary
Avinash Barnwal is a Data Science Manager based in Chennai with 11 years of experience applying statistics and machine learning to financial and product problems. He leads data science work at Kapitus and has a strong research pedigree as a PhD candidate in statistics from Stony Brook University, combining academic rigor (3.9/4.0 GPA) with practical impact. His background spans quantitative finance, credit analytics, and crypto investment products, and he has contributed survival modeling improvements to XGBoost through Google Summer of Code. An active practitioner in competitions and writing, he placed in the top 3% on a major Kaggle challenge and authored technical articles on accelerated, high-accuracy approaches to big data. He blends deep probabilistic modeling with production-ready ML to drive business outcomes, and his cross-domain experience means he often finds effective, non-obvious modeling levers in noisy financial signals.
11 years of coding experience
6 years of employment as a software developer
Int. MSc, Statistics and Informatics, 8.1/10.0, Int. MSc, Statistics and Informatics, 8.1/10.0 at Indian Institute of Technology, Kharagpur
Doctor of Philosophy - PhD, Statistics, 3.9/4.0, Doctor of Philosophy - PhD, Statistics, 3.9/4.0 at Stony Brook University