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 June 2026 I completed my doctorate (Dr. rer. pol.) on the automated detection and generation 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

Jan 2020 – Aug 2026 Research Associate — Chair of E-Business
Martin-Luther-University Halle-Wittenberg
Research 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.
Jan 2019 – Dec 2019 Data Scientist
Relaxdays GmbH
Built 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.
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

2020 – 2026 Doctorate — Dr. rer. pol.
Martin-Luther-University Halle-Wittenberg
Dissertation: “Automated Detection and Generation of Fake Reviews in the Context of Machine Learning Methods.”
2013 – 2015 M.Sc. Empirical Economics and Policy Advice
Martin-Luther-University Halle-Wittenberg
Focus on econometrics and empirical economic research; study abroad at Università degli Studi di Trento. Tutor at the Chair of Econometrics.
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.