TATA AIG (General Insurance Company operating in India) | Mumbai

• Associate Vice President - Senior Data Scientist
  • Optimization of Passive Equity Investment Allocation
    • Led a project to replace the old market agnostic fund allocation by automating investment allocation across 4 ETFs on ₹1000 Cr AUM delivering 6% excess returns.
    • Built a market timing framework that overinvested in undervalued indices and reduced exposure in overvalued ones using Monte Carlo simulation and valuation signals from PE and PB ratio deviations.
    • Translated model outputs into actionable portfolio strategies for investment team, enhancing transparency in allocation decisions and strengthening investment discipline.
    • Successfully presented complex model outputs to MD and senior management by simplifying technical details into clear business insights that influenced strategic decision making.
  • Motor OD Fraud Detection
    • Led end to end development of an AI fraud scoring system for motor claims that increased fraud detection by 50x thereby preventing large scale fraudulent payouts and creating strong deterrence.
    • Established a real-time, claim severity-based workflow that enabled zero-touch processing for low-risk claims, significantly reducing turnaround time (TAT) and enhancing operational efficiency.
    • Directed deployment of ML model and rule engine using AWS stack (Lambda, SageMaker, DynamoDB, API Gateway) reducing model failure rate from 3.5% to under 1% and enabling real time integration into claims workflows.
    • Identified crucial key performance indicators (KPIs) and built a comprehensive dashboard enhanced with LLM powered insights for continuous performance monitoring enabling tighter controls and iterative improvements.
       
• Chief Manager - Data Scientist
  • Health Enterprise Fraud Detection
    • Built an AI based fraud detection system combining graph neural networks and autoencoder based anomaly detection that flagged high risk entities with 82% success rate resulting in ₹25 Cr fraud savings.
    • Established a quarterly review process powered by model insights enabling timely interventions and securing additional recurrent annual savings of ₹12 Cr.
  • Motor Claim Volume Forecasting
    • Engineered an advanced DeepAR time series model to forecast claim volumes across 3 motor products and 8 zones, achieving high-precision results with a Mean Absolute Percentage Error (MAPE) of under 5% in key regions.
    • Translated model forecasts into actionable insights enabling better resource allocation strategic planning and improved claim handling efficiency.
  • Health Agent Profiler
    • Developed an AI powered recruitment profiler to support strategic hiring decisions by designing an ML based prototype on AWS that streamlined evaluation of prospective agents.
    • Drove adoption by collaborating with IT and Design teams to embed the solution within enterprise platforms improving recruiter efficiency and generating ₹2.4 Cr incremental revenue.

• Best Performer Award; Recognized by MD for AI/ML initiatives preventing ₹25 Cr+ fraud and optimizing ₹1000 Cr in Investments.
• Bronze Medal in Swimming, 3m Men Springboard,Under-14, Madhya Pradesh State Championship – State Level

• B. Tech, Indian Institute of Technology, New Delhi

• CFA Charterholder - Chartered Financial Analyst Institute | USA
• Lean Six Sigma Green Belt Program, KPMG

• Elected IIMA Speaker Series Head, managing logistics, planning, and coordination for high-profile speaker events
• Coordinator, Rendezvous IIT Delhi ,2019 - Led a 3-tier team of 20+ to manage prize distribution of worth 14 Lacs for 100+ events in North India’s largest Cultural Fest.
• Gold Medal in Men's Badminton, Western Command Championship
• Gold Medal in Chess Championship,3rd District Chess Championship organized by Panchkula Chess Association
• Gold Medal in Swimming, C.B.S.E West Zone Championship organised by Haryana Swimming Association, Panchkula