Selected work
Research, teaching, publications, and client engagements — filter by category.
A full-day professional development workshop series, delivered in collaboration with the Institute and Faculty of Actuaries (IFoA)
A framework for interpretable machine-learning algorithms for fraud detection in health insurance.
Integrating machine-learning models with business-rule triggers to detect unusual patterns in health-insurance claims.
A machine-learning model that assesses the probability of fraud in motor-insurance claims.
A medical-indemnity insurance solution for the Indian middle class, priced across cancer types, states and ages.
Pricing, real-time claims analytics and fraud detection for a state health scheme covering ~800M people.
A hedging mechanism protecting farmers' revenue from price fluctuations, with the Government of India.
