Summary
Indranil Gayen is an Assistant Adviser at the Reserve Bank of India with 11 years of experience blending statistical rigor and hands-on big data engineering for financial research and policy support. An ISI M.Stat graduate, he leads Big Data exploration initiatives at RBI, applying R, Python, Spark and Hadoop to extract insights for economic analysis and decision-making. He develops R packages, builds Shiny dashboards, and consults on PoC projects, bringing a rare combination of formal statistical training and production-oriented data engineering. His work spans machine learning, NLP and time-series econometrics, with practical exposure to Docker and scalable workflows. Outside the bank he delivers corporate training on R and big data, translating academic methods into actionable tools for practitioners. Colleagues value him for turning complex statistical techniques into reproducible analytics that inform policy and risk management.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, A, Bachelor of Technology - BTech, Computer Science, A at Techno India saltlake
Higher Secondary, Science, Higher Secondary, Science at Tamluk(Home Town)