I am a skilled Ph.D. in Applied Economics, specializing in Quantitative Economics and Econometrics. My expertise spans finance, econometrics, and monetary policy, with a focus on modeling, evaluation, and forecasting.
In my academic journey at Western Michigan University, I conducted extensive research using machine learning models to forecast risk aversion, uncertainty in financial markets, and the effects of monetary policy. I possess strong programming skills in R, Python, STATA, and other languages, and I’m experienced in data mining from the Bloomberg terminal. Additionally, I’ve excelled in teaching economics and organizing research initiatives in Ethiopia.