About me
I currently work as a data scientist for one of Europe’s biggest health insurers. I do everything from visualisation, dashboarding, training for colleagues, and special analytic assignments. I use R/SQL/Git every day, shiny when an app is needed and python when the pain of doing a task in R outweighs the struggle to use python with the companies tech stack.Part of what I do can be considered digital development aid by refactoring old codebases, spreading the git gospel and good coding practices. In private I avidly use docker, test tools like airflow and play with GPU-Computing like Nvidia-rapids in python.
My background
I studied Economics and Sociology in redacted universities in redacted countries, cause privacy, focusing on applied empirical research and statistics in increasingly complex data (e.g. LIS Income Database, the German Socioeconomic Panel). A corollary of doing complex (quantitative) research is the need to learn programming languages. First R, then Python with Stata for good measure. Of SPSS we don’t speak, we only remember in horror.