At Accenture, I lead a team of actuarial professionals and data science experts to transition Excel-based raters into Python-based solutions on the Hyper Exponential cloud platform for the North America region. This initiative aims to streamline pricing processes and enhance efficiency in client deliverables.

At RSA, I developed and implemented a machine learning model for motor insurance fraud detection, achieving a 20% improvement in the fraud detection success rate. I conducted resource estimation through FTE analysis to recover overlooked benefits and created effective business rules based on SIRA reports, reducing potentially fraudulent applications by 70%.

While at Swiss Re, I supported pricing for over 30 quotes across life, health, and disability products for the South-East Asia market. I conducted experience studies using R, resulting in cost revisions aligned with actual claims experience. Additionally, I developed models for premium trend analysis and data visualization, collaborated with underwriting teams to launch three new critical illness products, and presented findings to clients and senior leadership, including a presentation on decision-tree-based machine learning.

At Tech Actuarial, I worked on diverse projects, including claims analytics for Ayushman Bharat, where I analyzed 200,000 health insurance records, improving claims management efficiency by 20%. I built RShiny dashboards and Python-based tools for tracking claims and detecting fraud. For crop insurance, I developed ARIMA models to project crop yields and dashboards for futures tracking, reducing manual processing time by 70%. I also priced cancer products across 28 states, created valuation models for defined benefit pension schemes, and prepared consulting pitch presentations for various clients.

During my internship with the CAS, I worked on property and casualty pricing, reserving, and predictive modeling projects using Cognalysis Multirate software. I was recognized as a CAS Spotlight Candidate for demonstrating exceptional actuarial skills and contributing valuable insights.

As a Research Associate, I focused on fraud detection frameworks for group health insurance schemes, integrating actuarial and data science methodologies to improve fraud detection capabilities