Experience

Deutscher Wetterdienst

• Germany
• Government Administration
• 200 - 300 Employee

• Data Scientist

  • May 2020 - Present

  - Building intelligent systems for cloud observation - Convolutional Neural Networks - Semantic Image Segmentation - Data Assimilation - Building intelligent systems for cloud observation - Convolutional Neural Networks - Semantic Image Segmentation - Data Assimilation



mibe GmbH Arzneimittel

• Germany
• Pharmaceutical Manufacturing
• 1 - 100 Employee

• Statistical Consultant

  • Jun 2022 - Present

  Performing equivalence tests for comparability of semi-solid preparations Performing equivalence tests for comparability of semi-solid preparations



Eventus

• Non-profit Organizations
• 1 - 100 Employee

• Data Scientist

  • Jan 2020 - May 2020

  - Building intelligent systems in the health sector - Classifiers: Decision Trees, Random Forests, SVM, logistic regression, neural networks ... - Pre-processing of data: scaling, transforming, filtering, feature selection, feature construction,... - Building intelligent systems in the health sector - Classifiers: Decision Trees, Random Forests, SVM, logistic regression, neural networks ... - Pre-processing of data: scaling, transforming, filtering, feature selection, feature construction,...



Universität Potsdam

• Germany
• Higher Education

• Wissenschaftlicher Mitarbeiter

  • Oct 2014 - Oct 2019

  - PhD student in the field of data assimilation - Topic: imbalances excited by data assimilation procedures when applied to multi scale models - keywords: statistics, statistical inference, data driven forecasting, stochastic processes, time series, coding (python, matlab), numerical optimisation, uncertainty quantification - others: courses in machine learning (reinforcement learning, neural networks) - teaching numerical mathematics - PhD student in the field of data assimilation - Topic: imbalances excited by data assimilation procedures when applied to multi scale models - keywords: statistics, statistical inference, data driven forecasting, stochastic processes, time series, coding (python, matlab), numerical optimisation, uncertainty quantification - others: courses in machine learning (reinforcement learning, neural networks) - teaching numerical mathematics