About
Data scientist, empirical economist, and researcher — quantitative by training, applied by practice.
My background is consistently quantitative and empirical. I studied Empirical Economics and Policy Advice (M.Sc.) with a focus on econometrics, and extended that methodological foundation during my doctorate with modern machine learning and natural language processing. Across a decade of work — in industry and in research — I have built NLP models, customer-analytics pipelines, and deep-learning systems, and put them into production.
In April 2026 I completed my doctorate (Dr. rer. pol.) on the automated detection of fake reviews. My current research develops this into a broader field: the detection and evaluation of fake content — fake news and AI-generated content — as generative language models make synthetic content ever harder to spot.
Experience
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Since Oct 2025 · ongoing
Adjunct Lecturer — Data Science (freelance)
Hochschule MerseburgIndependently designed and teaching two bachelor modules: Data Science Fundamentals (winter semester) and Data Science Methods (summer semester), hands-on in Python.
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Jan 2020 – Aug 2026
Research Associate — Chair of E-Business
Martin-Luther-University Halle-WittenbergResearch on fake reviews, generative AI, and data science methodology. Independently prepared and taught Bachelor's and Master's courses (e-business, internet economics, IT security, web engineering); supervised theses and examinations.
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Jan 2019 – Dec 2019
Data Scientist
Relaxdays GmbHBuilt NLP models to automatically detect product-improvement suggestions from reviews, ensured customer-data quality with deep neural networks, and shipped microservices to production via REST APIs.
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Jan 2016 – Dec 2018
Customer Intelligence Analyst
Invia Travel Germany GmbH (formerly Unister)Designed and implemented analytical databases for customer-behaviour modelling; applied machine learning and data mining to customer lifetime value, customer journey, and churn.
Education
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2020 – Apr 2026
Doctorate — Dr. rer. pol.
Martin-Luther-University Halle-WittenbergDissertation: “Automated Detection of Fake Reviews in the Context of Machine Learning Methods” (German original: “Automatisierte Detektion von Fake Reviews im Kontext von Machine Learning-Verfahren”).
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2013 – 2015
M.Sc. Empirical Economics and Policy Advice
Martin-Luther-University Halle-WittenbergFocus on econometrics and empirical economic research; study abroad at Università degli Studi di Trento. Tutor at the Chair of Econometrics.
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2008 – 2011
Diplom-Betriebswirt (BA), Tourism Management
Staatliche Studienakademie Breitenbrunn
Skills
Programming
Python 3, SQL, JavaScript, HTML, LaTeX.
Machine learning & NLP
scikit-learn, TensorFlow, Hugging Face, NLTK, LLM APIs (OpenAI, Google Gemini), prompt design & evaluation.
Data & delivery
pandas, SQL (PostgreSQL, MySQL), data acquisition & cleaning, REST microservices, Flask.
Methods
Econometrics, empirical research design, data-science project methodology (DASC-PM).
Languages
- German
- Native
- English
- Fluent (spoken & written)
- French · Spanish · Italian
- Basics
Beyond work
Hiking, bikepacking, and CrossFit.