Profilbild von Sebastian Domsch Physicist (PHD) | Data Scientist aus Viernheim

Sebastian Domsch

nicht verfügbar bis 30.06.2027

Letztes Update: 17.03.2023

Physicist (PHD) | Data Scientist

Abschluss: Dr. rer. nat. Diplom Physiker
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: deutsch (Muttersprache) | englisch (gut)

Skills

Skills:
Physics, Math, Statistics, Machine Learning, Deep Learning, Natural Language Processing, A/B Test, Marketing Analytics, Monte-Carlo Simulations, Image and Signal Processing, Agile Working (KANBAN)   

Programming:
Python, SQL, R, Matlab

Tools:
VSCode, Jupyter, Git

Language:
German, English

Projekthistorie

08/2019 - bis jetzt
Research Consultant (part-time / free of charge / remote)
Magnetic Resonance Systems Lab | Department of Imaging Physics | TU Delft | Delft - Netherlands (Öffentlicher Dienst, 10-50 Mitarbeiter)

  • Consulting & supporting active noise reduction in MRI measurements using machine learning methods
  • Consulting & supporting publication preparations
  • Skills: Magnetic Resonance Imaging, Machine-Learning, Deep-Learning, Scientific Reading & Writing
  • Tools: Python, Jupyter, VSCode

09/2017 - 09/2021
Data Scientist (permanent / on-site)
COUNT+CARE GmbH – Part of the ENTEGA AG Group | New Solutions Department | Darmstadt - Germany (Energie, Wasser und Umwelt, 250-500 Mitarbeiter)

  • Development of machine learning models for marketing analytics use cases (e.g. customer value prediction, customer segmentation, marketing engagement and churn prediction)
  • Conducting proof-of-concept studies and reporting the results to the technical departments and management
  • Consulting the technical departments of the ENTEGA Group in translating business problems into a data science use case
  • Conveying data science basics to management level as part of a corporate-wide data competence center
  • Supporting machine learning engineers and software developers in providing and monitoring the models
  • Supporting the setup of a corporate-wide big data platform
  • Mentoring a working student in the context of an AI project
  • Skills: Machine Learning, Deep-Learning, Text Mining, Time Series Analysis
  • Tools: Python, R, SPSS, SQL, Git, Microsoft Powerpoint

06/2013 - 05/2017
Research Group Leader: Postdoc (permanent / on-site)
Institute for Computer Assisted Clinical Medicine | University Medical Center Mannheim | University of Heidelberg | Mannhein - Germany (Pharma und Medizintechnik, 10-50 Mitarbeiter)

  • Mentoring 2-4 students simultaneously in the context of doctorate, master's, and bachelor's theses
  • Fundraising for the research project: "Quantification of Tissue Oxygenation & Diffusion in the Human Brain Using Magnetic Resonance Imaging (MRI) for Radiation Therapy Planning"
  • Prototype development of robust MRI methods, including combined with AI-based evaluation methods, for measuring cerebral tissue oxygenation and diffusion for clinical use in cooperation with radiology
  • Lecturer for conveying physical basics in lectures / seminars of the Physics, Medicine, Medical Physics and Medical Engineering programs
  • Publication of research results in national and international journals and at conferences
  • Reviewer for various international journals for imaging methods
  • 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, C++, Latex, Microsoft Powerpoint, Microsoft Excel

Zertifikate

Machine Learning Kenntnisnachweis (Top15% Scorer)
2022
Certified Practitioner Data Science
2017

Reisebereitschaft

Weltweit verfügbar
  • Willingness to travel: yes, remotely preferred
  • Time availability: Mon-Thurs preferred

Sonstige Angaben

Experience:
I am a physicist and data scientist with 4 years of professional experience in applying machine learning to improve data-driven marketing analytics. I developed state-of-the-art machine learning models for use cases such as customer value prediction, customer segmentation, marketing engagement and churn prediction. Moreover, I consulted various specialist departments on using data science to solve different business problems. Thereby, I developed and validated machine-learning models in numerous proof-of-concept studies within an agile developer team. I also supported the machine learning engineers and software developers with the deployment and monitoring of the models. Before transitioning into the world of data science I worked as an academic researcher for 10 years and gained deep insights into medical physics, medical imaging, signal processing, mathematics, statistics and regression analysis.

My Value Proposition:
  • consultation on data science projects, especially in marketing analytics use cases such as customer value prediction, customer segmentation, sales prediction, marketing engagement and churn prediction
  • supporting specialist departments to translate business questions into well defined data science use cases
  • implementing an evaluating model prototypes
  • presenting the key analytical findings in a clear and understandable way to both technical and non-technical audiences
  • supporting the development team with the deployment of the models
Profilbild von Sebastian Domsch Physicist (PHD) | Data Scientist aus Viernheim Physicist (PHD) | Data Scientist
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