Prateek Kumar
Fraud Risk Strategy & Mitigation | Credit Card Onboarding & Transaction/Payment Fraud | AI/ML in Fraud | GenAI, Agentic AI | SQL, Python, Pyspark
- Role
- Senior Consultant - Fraud & Risk Strategy at Straive
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Prateek Kumar
Data Scientist professional with experience in the BFSI sector, specializing in developing and implementing data-driven strategies to mitigate fraud risks. Proven track record of reducing fraud losses by $3M annually through advanced analytics and machine learning models.Equipped with strong understanding and expertise in Python and SQL, with a focus on Model Development and Statistical Inference to drive business needs and impactful projects.Proficient in hands-on Predective and Statistical Modeling, Data Visualization Techniques.Demonstrated ability to translate business problems into analytical solutions that drive business growth and enhance customer satisfaction. Strong communication and collaboration skills with a proven track record of presenting insightful reports and presentations to diverse stakeholders.
Experience
Senior Consultant - Fraud & Risk Strategy
Jun 2025 — Present
Built a multi-agent LLM investigation copilot (Claude 3.5 + GPT-4o) with deterministic SQL pipelines and hallucination guardrails — reduced analyst workflow time by 40% across 15K+ monthly cases•Engineered XGBoost Auto-Rule Encoder for real-time fraud pattern detection across high-velocity transaction streams — contributed to $600K+ in prevented losses within 30 days of deployment•Architected unified ML decisioning layer consolidating 20+ legacy rules + ML scores — reduced chargebacks 18% across monthly transaction volume•Deployed automated model monitoring and drift detection covering 8 production models; identified 4 degradation events pre-impact, avoiding an estimated $150K in approval losses
Education
SRM IST Chennai
Bachelor of Technology (B.Tech.), Information Technology
2016 — 2020
D.A.V kapil Dev
Intermediate, Mathematics and Computer Science
2013 — 2015
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