Indranil Bhattacharya is a Senior Data Scientist based in Amsterdam with six years of experience applying machine learning to financial services, fraud detection, and customer-behavior problems. He moved from PhD research at the University of Amsterdam on accounting-focused ML problems into production-focused roles at Rabobank, where he now builds models for Customer Due Diligence and economic crime detection. Earlier experience at McKinsey and Razorthink honed his strengths in credit risk modelling and campaign-optimisation using deep learning and classical ML. A competitive coder and active Kaggle competitor who also does LeetCode for fun, he blends rigorous statistical training (B.Stat, M.Stat) with hands-on engineering to close the gap between research and deployable analytics. Colleagues value his ability to translate complex regulatory and business questions into robust, auditable models that scale in enterprise environments.
6 years of coding experience
5 years of employment as a software developer
M.Stat Statistics, M.Stat Statistics at Cybersecurity
B.Stat Statistics, B.Stat Statistics at Indian Statistical Institute, Kolkata
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