About me
I am a data scientist at
Mücke Roth & Company in Munich, Germany.
I have a Master's degree in statistics
and a Bachelor's degree in economics.
I am interested in things related to data analysis, e.g. statistics, data science, machine learning, deep learning. Beyond modeling and predicting I think it is also important to interpret results (machine learning interpretability, eXplainable AI) and consider economic and social implications of a data driven world.
In my spare time, I make electronic music and play the piano. You can also find me on a hike or on a bicycle tour across the Alps.
Work Experience
Python Developer
BMW
2017 - 2018
- Developing a parser that reads car status reports and stores data in a PostgreSQL database.
- Tools: Python, PostgreSQL, Git.
Research Assistant
2016 - 2018
- Creation and revision of lecture notes for Computational Statistics and Predictive Modeling (graduate level).
- Weekly tutorial for Computational Statistics (graduate level).
- Tools: R, RMarkdown, Latex, Git.
Research Assistant
2013 - 2015
- Topics: International, industrial economics, studies on innovation.
- Data collection and analysis, literature research, preparation of lecture slides.
- Tools: Stata, LaTex, Microsoft Word / Excel / PowerPoint.
Research Assistant
2011 - 2015
- Weekly tutorials for Econometrics, Microeconomics and Macroeconomics (undergraduate level).
Education
Statistics, Master of Science
Ludwig-Maximilians-Universität
2019
Master Thesis: Title
Economics, Bachelor of Science
Ludwig-Maximilians-Universität
2014