Industry Experience

Principal Economist, Amazon

(Descriptions are high-level in order to respect internal confidentiality and policies.)

• Work on large-scale marketplace and organizational problems in ads, logistics, and workplace safety.
• Design and analyze randomized and quasi-experimental studies, using tools from causal inference and applied econometrics.
• Build measurement frameworks that distinguish correlation from causation in high-dimensional behavioral data.
• Partner with product, engineering, and operations teams to translate evidence into product, policy, and strategy decisions.

Academic Positions

London School of Economics (LSE)

Faculty member in Economics, conducting research and teaching in applied microeconomics and empirical industrial organization.

University of Sussex

Faculty member in Economics, with research focusing on regulation, health, and consumer behavior, and an emphasis on credible identification strategies.

Education

PhD in Economics, University of California, Berkeley

Fields in applied microeconomics and econometrics. Dissertation work on regulation and consumer behavior.

Postgraduate Management, Indian Institute of Management (IIM)

Training in analytical methods, strategy, and organizations, building on a strong quantitative foundation.

Undergraduate Engineering, Indian Institute of Technology (IIT)

Degree in engineering, with a focus on quantitative methods and problem-solving, which later shaped my interest in data and causal inference.

Mentoring & Other Activities

• Mentoring early-career economists and data scientists on applied causal inference and career navigation in industry and academia.
• Occasional collaboration on policy-relevant projects related to regulation, development, and market design.