About

I am a public health researcher, biostatistician, and data analyst with over seven years of experience spanning global health communication, program evaluation, and AI-assisted research. My career has been built at Vital Strategies, where I have progressed from research intern to consultant, leading multi-country research and evaluation projects across five continents.

My work sits at the intersection of public health evidence generation and data science. I apply advanced statistical methods, machine learning tools, and real-time data systems to evaluate how public health communication campaigns change behavior, how commercial actors market harmful products online, and how public health evidence can be translated into policy and practice.

Research Interests

  • Commercial determinants of health — surveillance of tobacco, alcohol, and ultra-processed food marketing; digital marketing monitoring; policy evaluation
  • Overdose prevention and harm reduction — campaign evaluation; behavioral determinants of naloxone uptake; stigma measurement
  • AI in public health research — large language model classification; explainable AI; automated content analysis; digital surveillance systems
  • Public health communication and campaign evaluation — Monitoring, Evaluation, and Learning (MEL) frameworks; multi-stream data integration; behavioral prediction modeling
  • Global nutrition policy — front-of-package labeling; sugary drinks taxation; ultra-processed food regulation

Education

Doctor of Business Administration (In Progress)

Dual Concentration: Business Administration and Business Intelligence & Data Analytics

Westcliff University

Dallas, Texas, USA | 2026 – Present

Master of Science in Applied Data Analytics

University of Central Arkansas

Conway, Arkansas, USA | 2023 – 2024

Graduated: December 2024

Master of Public Health, Biostatistics

SRM Institute of Science and Technology

Chennai, India | 2016 – 2018

Graduated: June 2018

Bachelor of Business Studies

Tribhuvan University

Kathmandu, Nepal | 2009 – 2012

Approach

I believe rigorous methods and accessible communication are equally important. My analytical work combines advanced statistical modeling with practical tools — automated dashboards, reproducible Python workflows, and AI-assisted validation systems — that make research faster, more transparent, and more useful to the people who need it.

I work across quantitative and qualitative traditions, from survey-weighted logistic regression and structural equation modeling to qualitative message testing and systematic review. I am particularly interested in how AI tools can augment, rather than replace, human analytical judgment in complex public health research contexts.