Where I come from
It started out pretty aimless. I studied Business Informatics for my bachelor's, mostly because I did not want to give up the business background I already had, while still being someone who never really let go of computers. Data science was not on my radar at all at that point. Then one day, in a statistics lecture, I got genuinely hooked, on linear regression of all things.
From there it was more of a slow slide than a decision. I started picking up extra courses like Advanced Business Analytics, classification methods in data mining, and machine learning, mostly because the topic would not let go of me. An IT internship and my bachelor's thesis made it even clearer how much there still was to learn in computer science and how little I actually knew, so I went for a master's in Artificial Intelligence and Data Science, basically switching lanes from business to computer science.
I fell flat on my face early on, the math was a lot harder than I expected, but with a few too many sleepless nights I caught up.
Around the same time I started as a working student at PREVISIONZ and saw for the first time what enterprise-grade data platforms actually look like. At some point it clicked: if this works in the cloud, I can probably pull it off myself too, with open source and my own hardware. That is exactly where my first personal projects came from.
Today I work full time as a BI & Data Science Consultant at PREVISIONZ in Saarbrücken, building cloud platforms and ML workflows for clients.
Full résumé ->