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Projekt- und Berufserfahrung
- muZeroMachine Learning ScientistLOGISTIK & SUPPLY CHAINMai 2023 - September 2023 (5 Monate)Chicago, Vereinigte StaatenDevelopment of a completely }automatized forecasting algorithm for non-stationary, sequential data from supply chain management, including a time resolved risk measure - in Matlab.Related topics: Bayesian time series forecasting, non-stationary complex dynamical systems, imputation, decision trees, Bayesian optimization
- MenuGuruMachine Learning ScientistLOGISTIK & SUPPLY CHAINJanuar 2023 - März 2023 (3 Monate)Guadalajara, MexikoDevelopment of a fully automatized, data driven CRM-algorithm, that detects an empirical classificationof customers based on empirical poll data - in PythonRelated topics: integer statistics, hyperbolic embedding, missing data, bias-free imputation, non-parametric clustering, decision trees
- Data AdagioMachine Learning ScientistDIGITALAGENTUREN & IT-CONSULTINGFebruar 2022 - Dezember 2022 (10 Monate)Berlin, DeutschlandSynthetic Time Series Generation with Preservation of Temporal Dynamics for Non-Repetitive, Non-Stationary and Noisy Dynamical Processes with Application to Drug Development in Precision Medicine Use Cases
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Ausbildung und Abschlüsse
- Doctor of Natural Sciences/ Ph.D. Applied MathematicsDept. of Mathematics, Freie Universit¨ at Berlin (FUB)2009Doctor of Natural Sciences/ Ph.D. Applied Mathematics
- Certificated Studies in Medical Physics and TechnologyTechnische Universit¨ atCertificated Studies in Medical Physics and Technology