Resume

Experience

1. Jul 2023 - Present

   Actuarial Data Scientist

   Accenture Solutions Pvt. Ltd., India

   • Lead the transition of Excel-based raters to Python solutions on the hyperexponential cloud platform for North America.
   • Implemented Agile methodologies to optimise project management and team workflow.
2. Dec 2022 - Jun 2023

   Actuarial Data Science Consultant

   RSA Actuarial Services, India

   • Built and deployed a machine-learning model to prioritise fraudulent cases, boosting the fraud application success rate by 20%.
   • Ran a comprehensive Full-Time Equivalent (FTE) analysis to identify and recover previously neglected resource benefits.
   • Authored SIRA-based business rules that cut potentially fraudulent applications by 70%.
3. Jun 2021 - Dec 2022

   Actuarial Analyst

   Swiss Re

   • Supported pricing and experience studies for 30+ quotes across L&H products (Life, CI, Disability, Hospitalisation).
   • Performed impact testing on terms-of-trade assumptions for whole-of-life assurance products; monitored critical-illness capacity across 70+ quotes.
   • Executed experience studies in R to derive A/E ratios, enabling cost revisions aligned with actual claims data.
   • Developed R and Excel models for premium-trend analysis, L&H data visualisation and profit-commission insights.
   • Collaborated with claims and underwriting on the launch of three new critical-illness products.
   • Presented pricing strategies to team leads and clients, and delivered a technical talk on machine learning with decision trees.
4. Jun 2019 - Jun 2021

   Actuarial Consultant

   Tech Actuarial

   • Performed claims analytics in Python & R for India's largest group-health scheme (Ayushman Bharat), analysing 200,000+ records; built an RShiny dashboard improving claims-management efficiency by 20% and reducing fraudulent claims by 5% during COVID-19.
   • Automated daily crop-yield collection via Python web scraping (3M+ data points, ~90% faster) and built ARIMA models and a futures dashboard covering six crops and 12 scenarios.
   • Priced four cancer-product packages across 28 Indian states and built a dashboard comparing L&H risk metrics over 100+ scenarios.
   • Streamlined Defined Benefit pension valuations in Excel with a 10x runtime reduction.
   • Authored 30+ consulting pitch presentations over two years.
5. Jun 2020 - Aug 2020

   Student Central Summer Internship

   Casualty Actuarial Society, USA

   • Completed an intensive six-week P&C program covering data visualisation, pricing, reserving and predictive modelling.
   • Delivered four projects using Cognalysis Multirate software; recognised as a 'CAS Spotlight Candidate'.
6. Jun 2017 - May 2019

   Research Associate

   Tech Actuarial

   • Researched and developed fraud-detection frameworks for group-health insurance schemes.
   • Integrated actuarial and data-science methodologies to enhance detection capabilities.

Education

• Jun 2017 - May 2021

  Doctor of Philosophy (PhD)

  Sri Sathya Sai Institute of Higher Learning (SSSIHL), Actuarial Science (fraud detection in insurance)

  Thesis on fraud detection in motor and health insurance using actuarial and data-science techniques. Generated 450+ business rules and automated rule-generation with machine learning and data visualisation; built Python/R models on 100,000+ records achieving 95%+ accuracy. Presented at multiple conferences and published in journals.

• Jun 2017 - Apr 2019

  MSc (Mathematics), specialisation in Actuarial Science

  Sri Sathya Sai Institute of Higher Learning (SSSIHL), Mathematics & Actuarial Science

  Pursued actuarial science alongside a mathematics master's.

Certifications and fellowships

• 2024

  Fellow (FIA)

  Institute and Faculty of Actuaries

• 2025

  Fellow (FIAI)

  Institute of Actuaries of India

• 2022

  Associate (ASA)

  Society of Actuaries

Publications and talks

Skills

Milestones

• 2021

  PhD in Actuarial Science

  Doctoral research on fraud detection in motor and health insurance at SSSIHL.

• 2022

  Associate, Society of Actuaries (ASA)

• 2024

  SOA research report published

  Interpretable machine-learning methods for health-insurance fraud detection, with the Society of Actuaries Research Institute.

• 2024

  Fellowship: FIA & FIAI

  Qualified as a General Insurance actuary: Fellow of the IFoA (2024) and the Institute of Actuaries of India (2025).

• 2025

  13 international conference talks

  Invited speaker at CAS, IFoA, IAI, ASTIN and more.