Benedict Witzenberger is a solution architect and former data journalist with nine years of experience turning complex datasets into compelling, production-ready visual stories and scalable analytics programs. Based in Munich, he blends a PhD-level background in Computational Social Science and an MA in Political Science with hands-on skills in R, Python and JavaScript to build data pipelines, governance frameworks and interactive dashboards for enterprise customers. At Tableau he has led company-wide enablement for over 10,000 learners and migrated newsroom automation practices into repeatable tooling, including an R library for connecting to visualization platforms. His work sits at the intersection of rigorous research and practical delivery—using computational methods to surface the narrative keys in noisy data and to accelerate decision-making at scale.
9 years of coding experience
Doktor (Ph.D.) Computational Social Science, Doktor (Ph.D.) Computational Social Science at Technical University of Munich
Master of Arts - MA Politikwissenschaft, Master of Arts - MA Politikwissenschaft at Ludwig-Maximilians-Universität München
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Benedict Witzenberger - Solution Architect at Tableau