Raphael Riege Email
Expert Researcher - AI Operations @ Fraunhofer IEE
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Raphael Riege Location
- Kassel, HE, DE
Raphael Riege Work
- Expert Researcher - AI Operations @ (July 2025 - Present)
- Machine Learning Operations | Wissenschaftlicher Mitarbeiter @ (August 2023 - Present)
- Data Scientist | Co-Lead @ Lyncronize (March 2022 - August 2023)
- Data Scientist @ Lyncronize (September 2019 - February 2022)
- OptoPred | Research Assistant @ (October 2020 - March 2022)
- DeCarb Friends | Research Assistant @ (January 2019 - February 2022)
- Data Scientist @ ISTAT - Institute for applied statistics GmbH (October 2018 - July 2019)
- Analytics and Insights @ (April 2018 - October 2018)
- Lehrkraft für statistische Software @ (March 2018 - March 2018)
- Junior Data Scientist @ (March 2017 - February 2018)
- Tutor für Angewandte Statistik @ (April 2016 - October 2017)
- Online-Marketing @ (July 2016 - September 2016)
- Nachhilfelehrer für Mathematik und Deutsch @ (February 2016 - June 2016)
- Kommunikationsdesigner (Programm, Webseite, Social Media) @ (January 2016 - March 2016)
Raphael Riege Education
- Free University of Bozen-Bolzano
Master (Computational Data Science)
2021-2022 - University of Kassel
Master's degree (Sociology)
2018-2021 - University of Kassel
Bachelor's degree (Sociology and Economics)
2014-2018
Raphael Riege Skills
- Anforderungsanalyse
- Cascading Style Sheets (CSS)
- Data Engineering
- Data Science
- Data-Mining
- Datenmanagement
- Datenvisualisierung
- Docker
- Erneuerbare Energien
- Gamifizierung
- HTML
- Hochschullehre
- Informationsvisualisierung
- Konzeptentwicklung
- Kubernetes
- MLOps
- Maschinelles Lernen
- Microsoft Office
- MongoDB
- Online-Marketing
- Projektmanagement
- Python (Programmiersprache)
- Quantitative Forschung
- R
- Research
- SAP Analytics Cloud
- Scrum
- Stata
- Statistik
- Statistische Datenanalyse
- Suchmaschinenoptimierung (SEO)
- Typo3
- WordPress
Raphael Riege Summary
- Raphael Riege, based in Kassel, HE, DE, is currently a Expert Researcher - AI Operations at Fraunhofer IEE. Raphael Riege brings experience from previous roles at Fraunhofer IEE, Lyncronize and Universität Kassel. Raphael Riege holds a 2021 - 2022 Master in Computational Data Science @ Free University of Bozen-Bolzano. With a robust skill set that includes Anforderungsanalyse, Cascading Style Sheets (CSS), Data Engineering, Data Science, Data-Mining and more. Raphael Riege has 2 emails on RocketReach.
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