Souvik Manna is a data scientist and senior consultant with six years of hands-on experience building credit risk, fraud detection, and propensity models for financial services. He has led development of application and behavioural scorecards, payment projection models, and fraud autoencoder solutions that materially reduced losses and improved portfolio management. Comfortable with both traditional statistical methods and modern ML (XGBoost, LightGBM, autoencoders), he bridges rigorous academic training from ISI with practical deployment and stakeholder-facing communication. Based in Kolkata, he combines deep expertise in statistics and credit analytics with a knack for turning bank statement and alternate data into actionable scoring systems. Notably, his models have been used to open new business verticals and capture multi-million-dollar frauds, reflecting an ability to drive measurable business impact.
6 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Statistics, Bachelor's degree, Statistics at Calcutta University, Kolkata
MS-QMS, Statistics, 83.75, MS-QMS, Statistics, 83.75 at Indian Statistical Institute (SQC & OR)
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