Over Elmar
Mathematician and physicist, machine learning researcher and data scientist with expert knowledge in AI, non-parametric statistics, numerical mathematics, machine learning, large scale and combinatorial optimization including years of extensive experiences in predictive modeling and developing adaptive self-learning algorithms in various computer languages.
Duits
Tweetalig / moedertaal
Engels
Vloeiend
Frans
Beperkte professionele capaciteit
Spaans
Basiskennis
Kan op locatie werken
Federal Republic of Germany (tot 50km)
Werkervaring
- muZeroMachine Learning ScientistLOGISTIEK & SUPPLY CHAINmei 2023 - september 2023 (5 maanden)Chicago, Verenigde StatenDevelopment 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 ScientistLOGISTIEK & SUPPLY CHAINjanuari 2023 - maart 2023 (3 maanden)Guadalajara, MexicoDevelopment 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 ScientistDIGITAAL BUREAU & IT-CONSULTANCYfebruari 2022 - december 2022 (10 maanden)Berlin, DuitslandSynthetic 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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Opleidingen
- 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