Skilled problem solver with a Ph.D. in physics from the Max Planck Institute
I have a background in applied physics and got my Ph.D. from the Max Planck Institute. During this time, I found my passion for programming. While research turned out to be different than what I expected (mass production of articles), it helped me find my way to my current job as a data scientist at TeamBank in Nuremberg.
I love technology and enjoy sharing ideas and having good discussions with others. I try to think ahead and always focus on what customers need, because I want to help create a better world. I believe humans have only begun to show what they can do, and I want to use my time here to make things better. I think the best is still to come.
My journey through academia - from the historic University of St Andrews to the prestigious Max Planck Institute - was transformative. While the research demanded intense dedication, the experience was profoundly rewarding. The combination of St Andrews' centuries-old academic tradition and the Max Planck Institute's cutting-edge research environment shaped not just my scientific understanding, but my entire worldview.
I'm a data scientist who wears many hats. Early on, I jumped into all sorts of projects to build up my skills - from crunching customer data and building web scrapers to creating chatbots and tackling tricky classification problems. One big lesson I learned? Data scientists are really software developers at heart, and we need to code just as carefully. These days, I'm working toward becoming a machine learning engineer, focusing on building and deploying models, though I'm always open to exciting opportunities that come my way.
When I'm not working with data, I'm deeply interested in Bitcoin and its potential to create economic opportunities for everyone. I've spent a lot of time learning about this technology, and I truly believe it can change our society for the better. I enjoy breaking down complex ideas for others, which led me to start a blog exploring how Bitcoin connects with Austrian National Economics principles. While I haven't had as much time as I'd like to work on it lately, the blog remains an important project for me.
I've also tried my hand at entrepreneurship, having co-founded two startups. My current venture, spinfood, brings people together over great food across different cities. Even though COVID-19 threw us some curveballs, we stuck to our mission. I use my Python skills to match participants for our events, making sure everything runs smoothly. Building spinfood from scratch has taught me more about running a business than I could've ever learned from books.
Data Scientist with experiences in classification problems (XGBoost and Fastai), chatbots, web scraping, sentiment analysis and more.
Advanced methods of software development like object oriented programming, test driven development or data versioning using DVC are part of my working methods.
Ph.D. at the Max Planck Institute for the Science of Light in the Russell-Division. Check out my publications!
Languages: Python, Mathematica, MatLab, Latex and basics in C++.
Actual real languages: German (first language), English and un peu français.
ML-Tools: Scikit-Learn, XGBoost (big fan!), Feature Engineering, Fastai, Pytorch and many more.
Additional tools I like: Pytest, DVC, Rasa, spaCy, Streamlit and more.
Next goals: Becoming an expert in fastai, huggingface and at least one cloud provider!