Summary
Vineet Raj is a Senior Data Scientist based in Bengaluru with five years of hands-on experience designing ML-driven fraud detection and payment optimization systems for fintech and banking. At PayPal he led data-driven checkout fraud strategies for emerging markets, built real-time monitoring and alerting pipelines, and helped recover over $14M in losses while unlocking incremental revenue. His background spans productionizing isolation-forest anomaly detection, XGBoost classifiers, rule-based routing for manual reviews, and end-to-end dashboarding and automation across BigQuery, Tableau, SQL and Python. Earlier roles at Zolve and Fincare show a pattern of reducing dispute and failure rates, closing onboarding loopholes, and automating operational workflows to improve conversion and cut costs. Trained as an engineer at IIT Kharagpur, he pairs strong mathematical rigor with product-focused execution and a knack for translating complex problems into modular, deployable solutions. He often combines model-based approaches with pragmatic rule engineering—an approach that delivered measurable business impact across payments, AML, and merchant risk.
5 years of coding experience
4 years of employment as a software developer
Master's degree, Metallurgical Engineering, Master's degree, Metallurgical Engineering at Indian Institute of Technology, Kharagpur
High School, Class 10th- 10 CGPA, Class 12th- 90%, High School, Class 10th- 10 CGPA, Class 12th- 90% at Scottish Public School
Hindi, English