About
As an Actuarial Data Scientist, I pursue research in the area of data-driven fraud detection using actuarial and data science techniques for insurance industry. I use the amalgamation of actuarial science and data science to solve complex problems in the areas of my research. This research is first of its kind in the Indian Insurance Industry. Latest data science techniques, which has shown immense benefit in other field of research, are being used for this work. I have made multiple presentation in international conferences, published 4 research work in international journal and 1 book chapter.
Identifying improved approaches and enhanced solutions to business challenges are activities that drive and inspire me. Exploration, pursuit and motivation are my frameworks for success. I believe that fresh perspectives and trying new techniques help businesses evolve and grow.
Employment
Employment history is unavailable.
Education
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Sri Sathya Sai Institute of Higher Learning Doctor of Philosophy2019 - Present
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Sri Sathya Sai Institute of Higher Learning M.Sc. in Mathematics with specialization in Actuarial Science2017 - 2019
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Sri Sathya Sai Institute of Higher Learning B.Sc. Honors in Mathematics2014 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (6)
- Implementation of Correlation and Regression Models for Health Insurance Fraud in Covid-19 Environment using Actuarial and Data Science Techniques Save
- TGANs with Machine Learning Models in Automobile Insurance Fraud Detection andComparative Study with Other Data Imbalance Techniques Save
- Implementation of Correlation and Regression Models for Health Insurance Fraud in Covid-19 Environment using Actuarial and Data Science Techniques Save
- A Framework for Comprehensive Fraud Management using Actuarial Techniques Save
- A Proposed Model for Measuring Protection of Policyholders ' Interest at Industry Level Save
- Implementation of a Predictive Model for Fraud Detection in Motor Insurance using Gradient Boosting Method and Validation with Actuarial Models Save