Summary
Pranab Bhadani is a Vice President and Data Science Lead with a decade of experience applying machine and deep learning to retail problems, currently leading recommendation engine initiatives at JPMorgan Chase. His background blends ecommerce analytics from Chewy, production NLP systems, and hands-on big data ETL work, giving him a rare mix of modeling, feature engineering, and pipeline engineering skills. He holds an M.S. in Data Science from Indiana University and has applied techniques from Word2Vec to RNN/LSTM in industrial settings, including churn and predictive maintenance projects. Known for translating academic methods into scalable solutions, he often bridges research-level models and business impact across large enterprises.
10 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.), Data Science, 3.82/4, Master of Science (M.S.), Data Science, 3.82/4 at Indiana University Bloomington
Bachelor's degree, Computer Science, 8.75/10, Bachelor's degree, Computer Science, 8.75/10 at West Bengal University of Technology