As an Economics PhD candidate, I specialize in applied econometrics, focusing on causal inference, machine learning, and forecasting. Over the past six years, I have acquired skills in using advanced statistical techniques to analyze complex, large-scale datasets with R, Stata, and Python. My experience includes working with complex micro-survey data such as the Panel Study of Income Dynamics and various institutional datasets.My passion for teaching has equipped me with the ability to distill complex economic and statistical concepts into clear, accessible explanations, making me an invaluable asset in diverse team settings. I am committed to leveraging my skills to help organizations make informed business decisions grounded in sound economic theory and rigorous empirical analysis.Let’s connect if you’re interested in collaborating or discussing how I can contribute to your organization’s success.