Deutsche Bahn
Roberto Tatis-Muvdi is a Senior Data Scientist at Deutsche Bahn since October 2023, with extensive experience in data science and environmental management. Previous roles include Data Scientist at Shopify and YARA Digital Farming, as well as Senior Scientist at Kompetenzzentrum Wasser Berlin, where work focused on data-driven sustainability solutions in urban water management. With over six years of expertise in statistics, predictive modeling, and model development using R, C++, and FORTRAN, Roberto has also contributed as a Researcher at Technische Universität Dresden, where research centered on data analysis and mathematical modeling in hydraulic engineering. Early career experience includes serving as a Data Analyst for Conservation International Colombia, focusing on environmental planning and management strategies. Roberto holds a Dr.-Ing. in Numerical Modelling in Environmental Hydraulics and multiple degrees from Technische Universität Dresden and Universidad del Atlántico.
Deutsche Bahn
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Deutsche Bahn is an international provider of mobility and logistics services and active in over 130 countries. They design and operate the transport networks of the future. With the integrated operation of transport and infrastructure and the intelligent linking of all modes of transport, they move people and goods – on the rails and roads, by sea and by air.