Daniel Nietzer is an experienced analytics consultant currently participating in a two-year trainee program at Deloitte, focusing on analytics, data science, and software development. Recent academic contributions include a master thesis at Statistisches Bundesamt, wherein the topic centered on hierarchical learning for classifying scanner data related to the German Consumer Price Index. Prior experience includes roles as a student research assistant and intern at ZEW - Leibniz Centre for European Economic Research, as well as a teaching assistant at the University of Mannheim. Daniel's educational background spans multiple institutions, culminating in a Master of Science in International Economics from the Faculty of Business and Economics of Göttingen University, alongside degrees in Economics from the Facultad de Economía y Negocios - Universidad de Chile and Université Panthéon Assas (Paris II), and a Bachelor of Science in Economics from the University of Mannheim.
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