Summary
Andrea Bucci is an assistant professor (tenure track) of econometrics with a PhD from Università Politecnica delle Marche and nine years of experience bridging academia and applied quantitative work. He researches and teaches econometrics and statistics, bringing practical data-analysis skills honed through roles as a postdoc, teaching assistant, and tutor across Italian universities. His background includes applied quantitative modeling for policy and finance—experience that ranges from implementing statistical models at t33 Sound Policy to building optimal investment portfolios at Sanpaolo Invest. Trained in Big Data Econometrics, machine learning, and R programming, he combines rigorous theoretical grounding with hands-on data science workflows. Based in Italy, he is known for translating complex econometric methods into accessible teaching and policy-relevant analysis.
9 years of coding experience
3 years of employment as a software developer
Big Data Econometrics and Machine Learning, Big Data Econometrics and Machine Learning at Società Italiana di Econometria
Doctor of Philosophy (Ph.D.), Econometrics, Doctor of Philosophy (Ph.D.), Econometrics at Università Politecnica delle Marche
School on Data analysis and programming with R, School on Data analysis and programming with R at Free University of Bozen - Bolzano
Italian, English, French