3+ years across healthcare payer analytics, technology consulting, and data-driven decision support for enterprise clients — building predictive models on large healthcare and financial datasets, and GenAI-powered product analytics, to guide client decisions.
MBA graduate (IIM Trichy, 2026) with 3+ years in healthcare payer analytics, technology consulting, and data-driven decision support for enterprise clients. Direct experience inside a top-3 US health insurer's AI/ML division building a claims fraud-detection model, plus GenAI-powered product analytics and financial-services credit-risk work.
Work History, In Sequence
Technology Consulting Analyst
- Support a PayPal Credit special-financing programme (0% interest for 6 months on qualifying $149+ purchases), driving cross-functional delivery across engineering, risk, and design.
- Define and validate requirements for a delinquency and default flagging system, testing and refining flagging logic with risk and engineering stakeholders.
- Write user stories and manage backlog for the credit financing feature set; facilitate Agile ceremonies, tracking sprint metrics against PayPal Credit milestones.
Senior Analyst Intern, Product
- Designed and executed A/B tests on a GenAI-powered product discovery feature across 10M+ user journeys, identifying checkout funnel gaps via SQL and Python.
- Diagnosed a discovery-engagement decline using Mixpanel session replays, tracing it to a removed banner class and recovering the KPI trend.
- Translated findings into a prioritized roadmap presented to senior leadership, securing budget approval for two feature workstreams.
Software Engineer, Healthcare Payer Analytics
- Built the COVID Care Repository end to end (Java, Spring Boot, Angular), enabling record access for 150,000+ patients during the public health crisis.
- Shipped a multilingual patient-communication feature that cut language-barrier support tickets by an estimated 35%.
- Built an AI-guided patient triage module adopted by 3 clinical partner organisations within 90 days of launch.
- Built a claims fraud & cost-risk detection model — Gradient Boosted DT, AUC 0.91, 1.8% false-positive rate. Bravo Employee of the Month (Jun 2023 & Nov 2022).
ML Engineer, Inventory Intelligence
- Built Walmart's Inventory Demand Predictor (ARIMA, LSTM, XGBoost, LightGBM), tuned to beat a MAPE < 15% acceptance bar.
- Achieved MAPE of 11.4% vs a 29.3% baseline, reducing pilot-category overstock by ~22%; adopted into holiday procurement for 3 high-volume categories. Star Employee of the Month (Nov 2021).
Flagship Builds
COVID Care Repository
MVP to production payer-facing platform for care-record access during the COVID-19 crisis.
Health Insurance Fraud & Cost-Risk Detection
Predictive model on payer claims data flagging fraud and cost-risk patterns across the pilot insurer base.
Walmart Inventory Demand Predictor
ML forecasting system on historical sales and seasonal patterns, adopted into holiday procurement planning.
Education & Certifications
MBA (PGPM)
B.Tech · Computer Science
Skills
Recognition
Star Employee of the Month
Tredence Inc · For the Walmart Inventory Demand Predictor's forecast accuracy and pilot impact.
Bravo Employee of the Month
Optum · Awarded twice, including for the claims fraud & cost-risk detection model.