Tübingen, Baden-Württemberg, Germany
I am working as full-stack data scientist at SüdWestStrom, and I am in the final stages of my PhD in the field of computational social science at the Methods Center in Tübingen. As part of my PhD, I apply and develop quantitative methods at the intersection of econometrics (psychometrics) and machine learning, using primarily Python. An empirical working paper on emotional cues and alcohol use can be found on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4912703 Feel free to contact me, I am looking forward to hearing from you!
Research at the intersection of behavioral (sports) economics, data science, and machine learning as well as teaching of the seminar "Multivariate Methoden."
Supporting digital teaching and exam correction at the department of statistics and econometrics.
Digitalization of teaching using R Markdown at the department of statistics and econometrics.
Data analysis and interpretation, as well as presentation of results and support in testing new features of IT systems in the CRM (customer relationship management) department.
Organizing and supporting activities around sports and education for children and adolescents with and without disabilities in the youth center.