Akhil Punia is a Senior Data Scientist with 10 years of experience, currently leading analytics work for Financial Services clients at EY in New York. He specializes in turning large, messy datasets into C-suite-ready insights using Python, Spark/Databricks, SQL, Neo4j and Azure, and has led a team to produce high-performing credit risk models (XGBoost AUC > 0.8) and explainable outputs via SHAP and partial dependence analysis. His background blends an MS in Data Science from Columbia with hands-on modeling across imbalanced classification, feature engineering and outreach optimization for collections, reflecting both technical depth and business impact. Colleagues describe him as a data nerd and optimist who pairs rigorous experimentation with pragmatic delivery, and he often surfaces nonobvious data limitations early to shape better modeling strategies.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Electrical and Electronics, Bachelor of Technology - BTech, Electrical and Electronics at Vellore Institute of Technology
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Columbia University in the City of New York
Contributions:29 commits, 28 pushes, 1 branch in 27 days
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