Physiker | Data Scientist

8/2019 – offen

• Consultation and analysis on the feasibility of using machine learning to reduce noise levels in magnetic resonance imaging
• Review of journal publications and conference abstracts
• Provision of data for functional MRI studies
• Skills: Magnetic Resonance Imaging, Machine-Learning, Deep-Learning, Scientific Reading & Writing
• Tools: Python, Jupyter, VSCode

Maschinelles Lernen, Physik, Python

9/2017 – 9/2021

- Teaching of data science basics at management level within the framework of a group-wide data competence center
- Advising the specialist departments of the ENTEGA Group on the translation of business probem into a data science use case
- Development of machine learning model prototypes as part of feasibility studies with particular focus on data-driven marketing analytics (e.g. churn prediction, customer value prediction, customer segmentation, conversion rate prediction, price forecasts etc.)
- Visualization and communication of data science results to the specialist departments and management
- Support for data engineers and software developers to integrate machine learning models into a productive environment
- Support in setting up a group-wide big-data platform
- Technical supervision of a working student as part of an AI-project
- Skills: Machine-Learning, Deep-Learning, Text-Mining, Timeseries Analysis
- Tools: Python, R, SPSS, SQL, Git, Microsoft Powerpoint

Data Science, Git, Maschinelles Lernen, Microsoft Powerpoint, Python, SQL

6/2013 – 5/2017

- Technical supervisor of 2-4 students at the same time in the context of doctoral, master’s and bachelor’s theses
- Obtaining third-party funds for the research project: “Quantification of tissue oxygenation and diffusion in the human brain using magnetic resonance imaging (MRI) for planning radiotherapy”, funded with 63,000 € for the years 2015-2017 by the Junior Academy Medical Technology (German Research Foundation)
- Prototype development of robust MRI methods, e.g. combined with AI-based evaluation methods, to measure cerebral tissue oxygenation and diffusion for clinical use in cooperation with radiology
- Lecturer in physics, medicine, medical physics and medical engineering within lectures and seminars
- Publication of research results in international journals and at research conferences
- Reviewer for various international research journals with special focus on Magnetic Resonance Imaging and signal- and imaging processing
- Skills: Medical Physics, Magnetic Resonance Imaging, Time-Series Analysis, Statistics, Image Processing, Signal Processing, Regression Methods, Monte-Carlo Simulations, A/B Testing, Scientific Reading/Writing
- Tools: Matlab, Microsoft Powerpoint, Microsoft Excel

Maschinelles Lernen, Simulink, Medizinische Messtechnik, Microsoft Excel, Physik, Statistiken