Lead development of scalable econometric and causal-inference methods (DiD, RDD, IV, synthetic controls, panel data) to measure long-term marketplace impact. Integrate causal insights into production ML systems, influence product strategy, present findings to executives, and mentor data scientists and economists.

Conduct econometric and causal inference analyses for Expedia’s travel marketplace. Build models using panel data, difference-in-differences, regression discontinuity, instrumental variables, synthetic controls, and experimental design. Measure marketplace interventions, customer lifetime value, supplier behavior, and long-term business impacts. Collaborate with machine learning, data science, analytics, and product teams; translate findings into visualizations and recommendations for nontechnical stakeholders.

Leads end-to-end people analytics projects, translating HR and business priorities into metrics, statistical analyses, visualizations, and executive recommendations. Partners with HR leaders, product teams, machine learning scientists, and data engineers to improve organizational insights, data quality, analytics products, and self-service capabilities. Designs employee listening programs, delivers data-literacy coaching, manages analytics intake, supports product development, and advances analytical practices across the People Analytics team.