About

About me

I currently work as a data scientist for one of Europe’s biggest health insurers. I mostly run our Python / R + GitLab CI/CD stack and develop our project and model setup. I often advise colleagues and am called to explain tech to non-technical personal (like what are containers, k8s and why are these things essential).

I use Python/Git/Bash every day but I spent about 10 years practising the obscure art of R but today I see python as the more mature, better designed and especially more stable language. Part of what I do can be considered digital development aid by refactoring old codebases, spreading the git gospel and good coding practices. At home I run my k8s cluster, dream about additions to the self hosted pile and get stuck into linux and have excised Microsoft from every device.

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. Since then I mostly focus on programming, software engineering and all things related to getting, maintaining, educating and effectively using aforementioned tools for analytics, and more robust workflows.

Contact