Rakesh Sisodia

Data Science Consultant with 14+ years of experience, (7+ years with leading European banks in Switzerland), specializing in end-to-end credit risk solutions—Application, Behavioral, and Collection scorecards across unsecured MSME, PL, two-wheeler loans and cross selling.

Skilled in revenue analytics, campaign and lead prioritization, recommendation engines, fraud detection, ECL estimation, and early warning systems (bounce to NPA, Current to NPA). Expert in building scalable models using XGBoost, Random Forest, Logistic Regression, and Manhattan Distance, consistently delivering ~30% revenue lift through challenger models.

Data Science in Credit Risk and finance

B tech from NIT Jaipur