Data Scientist / Analyst — Causal Inference — Big Data

I am an applied economics PhD specializing in causal inference, forecasting, and large-scale data analysis. My work focuses on quantifying behavioral responses, evaluating interventions, and building reproducible analytical workflows using quasi-experimental methods and modern data tools to support evidence-based decision-making. 

• Causal inference (Difference-in-Differences, event studies, instrumental variables, etc.)

• Forecasting and predictive analytics

• Large-scale data analysis (100M+ observations)

• Reproducible analytical workflows and automation

• Translating empirical findings into actionable business and policy insights

• Portfolio: Public projects in forecasting, marketing analytics, automation, and applied causal inference available on GitHub.