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Experience
At Milliman, Kshitij's work encompasses data platform management, actuarial product development and applying machine learning/advanced analytics to actuarial use cases particularly in areas of policyholder behavior. Kshitij also leads a multidisciplinary team focusing on data engineering, devops, information security, software development and testing.
Prior to joining Milliman, Kshitij has worked as a consultant focusing on machine learning and software development for a major analytics services company and as a data scientist for a major technology company.
Education
- Master's degree - Computer Science (Major in Machine Learning)
Publications
Read their latest work
Article
Python and Numba
15 April 2025 - by Jim Brackett, Chad Schuster, Donal McGinley, Corey Grigg, Kshitij Srivastava
We review how Numba, a technology for transforming Python code to native machine code, can help accelerate processing to help insurers deliver value.
Article
Milliman VALUES™ 2020 GLWB industry utilization study
21 December 2021 - by Kshitij Srivastava, Frank Fineis
Looking at utilization by variable annuity policyholders, we saw a decrease in GLWB withdrawal commencement rates, and withdrawal efficiency patterns unchanged
Article
The use of artificial intelligence and data analytics in life insurance
29 November 2021 - by Fanny Pouget, Rémi Bellina, Mehdi Echchelh, Karol Maciejewski, Christoph Krischanitz, Bartosz Gaweda, Dominik Sznajder, Raymond van Es, Talex Diede, Kshitij Srivastava, Nathan Wilbanks, Mike Hoyer, Clement Bonnet
The emergence of data analytics and machine learning is providing insurers and reinsurers with new insights into how they drive and monitor their business.
