Shivani Gupta, PhD Candidate

Applied Economist | Causal Inference Specialist  

Professional Experience & Impact

For nearly a decade, I have worked closely with teams at the World Bank and the International Food Policy Research Institute (IFPRI), supporting projects from the initial problem framing to the point where results inform real strategic decisions. My role is integrative—moving between the field, the data, and the decision table. This involves designing experiments and sampling, building and managing large-scale data pipelines and developing complex econometric and causal models to translate evidence into decision-insights for markets, users and policymakers.

I have experience managing field personnel, mentoring research assistants, and partnering with a range of institutions—from federal, state, and local government agencies to NGOs and international organizations. My focus is always on fostering strong collaboration and ensuring data quality to ground rigorous analysis.

Technical & Communication Skills

Proficient in R, Python, Stata, and SPSS, I have hands-on experience analyzing both big data and large-scale survey from experimental, administrative, and observational sources across the full quantitative workflows.

A core part of my work is translating complex empirical findings into clear, defensible insights. I achieve this through technical reports, peer-reviewed journal articles, and accessible policy briefs, assisting stakeholders in making informed choices about resource allocation and real-world impact.