Rohan.

Curriculum vitae

Resume

Education, experience, credentials, and publications — the full record.

Education

  • Doctor of Philosophy (PhD)

    Jun 2017 – May 2021

    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.

  • MSc (Mathematics), specialisation in Actuarial Science

    Jun 2017 – Apr 2019

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

    Pursued actuarial science alongside a mathematics master's.

Experience

  1. Actuarial Data Scientist

    Jul 2023 – Present

    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. Actuarial Data Science Consultant

    Dec 2022 – Jun 2023

    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. Actuarial Analyst

    Jun 2021 – Dec 2022

    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. Actuarial Consultant

    Jun 2019 – Jun 2021

    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. Student Central Summer Internship

    Jun 2020 – Aug 2020

    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. Research Associate

    Jun 2017 – May 2019

    Tech Actuarial

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

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.

Skills

Data Science & Actuarial

  • Qualified GI Actuary
  • Predictive modelling
  • Pricing & reserving
  • Experience studies
  • Technology transformation
  • hyperexponential

Technical

  • Python
  • R
  • SQL
  • VBA / Excel
  • Git / GitHub / GitLab
  • Machine learning

Web apps & dashboards

  • RShiny
  • Next.js / React
  • Flask
  • PowerBI

Communication & collaboration

  • Public speaking
  • Stakeholder management
  • Team collaboration

Certifications & Fellowships

  • Fellow (FIA) · Institute and Faculty of Actuaries2024
  • Fellow (FIAI) · Institute of Actuaries of India2025
  • Associate (ASA) · Society of Actuaries2022

Publications & Presentations