Marco Molitor

• Successfully advanced Data Science workstream to enhance Machine-Learning solutions. Successfully deployed machine-learning models according to best practices • Implemented scalable Data Lake & ETL-workflow on AWS, improved data accessibility • Developed and delivered comprehensive training: Led a one-week Data Engineering & Data Science course on Databricks

• Research on supply chain disruptions using a stochastic modeling approach, data-driven analysis of labor market imperfections and wage penalties to study impact of multi-tasking on employee wages • Delivered exercise courses on International Economics, Advanced Macroeconomics, and Growth Theory to students • Excelled in Bavarian Graduate Program in Economics, ranking among top 5 in Advanced Macroeconomics, Advanced Microeconomics, Advanced Econometrics, & Causal Inference in Applied Economics

• Specialization in economic theory and empirical research, with a primary focus on International Trade and Labor Markets, gaining in-depth knowledge of key economic issues. • Authored a paper on causality, published in LSE student journal Rerum Causae, contributing to interdisciplinary academic discussions. • Master’s Thesis on monopsonistic competition in international trade, applying a discrete-choice random-utility model to analyze labor market frictions, gains from trade, and offshoring

• Focused on philosophy, with an emphasis on normative ethics, logic, and game theory, building a strong foundation in critical thinking and ethical theory. • Active member of the student body and served as a student assistant, contributing to administrative and teaching operations, fostering academic engagement. • Bachelor's Thesis on intentionalist problems and refutations of consequentialism, demonstrating strong analytical and argumentative skills in addressing key philosophical debates.