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

• Associate Vice President - Senior Data Scientist
  • Led a project that automated investment allocation strategy for a portfolio of 4 ETFs, generating 6% excess returns over traditional methods on an AUM of ₹1000 Cr.
  • Leveraged Monte Carlo simulations and advanced statistical models to dynamically optimize fund allocation based on long-term market growth indicators, directly contributing to superior portfolio performance. 
  • Spearheaded the development and implementation of an AI-based system to score individual claim transactions, resulting in a 50x increase in repudiations for fraudulent claims.
  • 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.
  • Led the deployment of ML model and rule engine using AWS stack (Lambda, SageMaker, DynamoDB, API Gateway) and directed initiatives that brought down the model failure rate from 3.5% to under 1%.
  • Identified crucial key performance indicators (KPIs) and developed a comprehensive dashboard for continuous performance monitoring, enabling tighter controls and data-driven product iterations.
     
• Chief Manager - Data Scientist
  • Engineered a fraud detection system utilizing Machine Learning and Graph Neural Networks (GNN) to identify high-risk hospitals, achieving 82% success rate and prevented losses of ₹25 Cr.
  • Established a quarterly review process based on the model results, securing recurrent annual savings of ₹12 Cr by enabling prompt action on identified fraudulent activities. 
  • Spearheaded the end-to-end development and integration of a three-stage predictive agent profiler, generating ₹2.4 Cr in incremental revenue by engineering an ML model and deploying a real-time insights prototype on AWS (Streamlit).
  • Transitioned to an Assistant Product Manager role to champion its full-scale adoption, orchestrating cross-functional collaboration leading IT and Design teams to embed the predictive tool into the website for the sales team. 
  • Engineered an advanced DeepAR (LSTM) 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 complex model forecasts into clear, actionable insights for the business team. This directly enabled enhanced resource allocation and strategic planning, significantly improving overall claim handling efficiency. Predicting Bid amount for Net of Salvage claims
  • Developed a predictive pricing model using Monte Carlo Simulation to set optimal salvage prices, consistently achieving 80-82% success rate in quarterly evaluations and significantly reducing manual interventions in bid processing.
  • Deployed the end-to-end solution on AWS to provide real-time pricing references and automate bid acceptability evaluations against dynamic, model-generated floor prices.

• Champion of Champions Award: Recognized by the MD of TATA AIG in 2023 for exemplary performance
• State-Level Swimming Medalist: Earned Bronze in the 3m Men's Springboard at the Under-14 Madhya Pradesh State Championship

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

• CFA Charterholder
• Lean Six Sigma Green Belt Program, KPMG

• Elected as IIMA Speaker Series Cell Head; Logistics
• Coordinator, Rendezvous IIT Delhi, 2019 - Led a multi-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 – Cantonment level
• Gold Medal in Chess Championship,3rd Distr Chess Championship organized by Panchkula Chess Association – District Level
• Gold Medal in Swimming, C.B.S.E West Zone Championship organised by Haryana Swimming Association, Panchkula – District Level