Alok Kesarwani

I hold a Master of Operational Research from the University of Delhi (2023) and a B.Sc. (Hons.) in Mathematics from PGDAV College, University of Delhi (2020), which gave me a strong quantitative foundation for economic modeling and analysis. I'm also certified in Python for Everybody (Coursera, University of Michigan, 2022) and Python for Data Science — NumPy & Pandas (DPhi, 2022).

Building on this foundation, I've worked as an HEOR Analyst for over three years, building and adapting health economic models across multiple countries, primarily in oncology, with some exposure to vaccine model review. From July 2023 to July 2026, I worked as an Analyst at Peritia (formerly CHEORS), where I built and adapted cost-effectiveness and budget impact models in Excel, using VBA to automate key parts of the process. My work spanned Markov, Partitioned Survival, Decision Tree, and Individual Patient Models, developed and reviewed in line with HTA requirements such as NICE (UK) and AIFA (Italy). I regularly ran sensitivity analyses — including base-case, one-way (OWSA), and probabilistic (PSA) — and was responsible for validating model accuracy and presenting results clearly to clients and internal teams. I also collaborated with cross-functional teams to align model assumptions and outputs with country-specific requirements, and used AI tools like Claude to speed up model replication while manually validating outputs for accuracy.

Two projects I'm particularly proud of: in 2024, I developed a Markov-based cost-effectiveness model for knee osteoarthritis using Japan-specific cost and utility data, structuring it around defined health states and transition probabilities to calculate ICERs and QALYs with standard discounting practices. In 2025, I replicated a published cost-effectiveness model (Sikirica et al., Pharmacoeconomics, 2012) evaluating guanfacine extended-release for ADHD, building it in R and layering an interactive R Shiny dashboard on top for scenario testing and result visualization — validating my replicated outputs against the published results before adding the interactive layer.

I also co-authored a health economics abstract as part of a project team, contributing to writing and structuring content in line with ISPOR guidelines and word limits. Earlier in my career (October 2020 – October 2021), I worked as a Question & Answer Expert at Chegg India, answering advanced mathematics questions for a global student audience while maintaining high quality ratings.

My core toolkit includes Excel modeling with VBA automation, R and R Shiny development, and programming in Python and SQL (with Pandas and NumPy).