I'm a data scientist in Hamburg, Germany. Before I went into industry, I obtained a physics PhD from KIT for deriving insights on the structure of matter from CERN particle collision data. I love working with great people, getting creative with data, using state-of-the-art technologies and building awesome products. Interested in working together or having a chat? Feel free to contact me.
In a wide range of subject areas, I have analyzed structured and unstructured data to extract actionable business insights. I love to craft stunning and clever visualizations that illustrate surprising results.
I'm strongly convinced that machine learning models should not go to waste in Jupyter Notebooks. Using my software engineering skills, I've built and deployed AI services which create real business value.
I enjoy public speaking, writing professional articles, sharing my knowledge and discussing diverse topics. Thanks to my training and experience in science communication, I'm able to present complex results to a non-technical audience.
Medium's Towards Data Science is a great place to share wisdom. Here you'll find my articles on data science experiences and best practices.
Discover the structure of Wikipedia by flying around like you're in a spaceship. Based on public page link data and free graph software.
Occasionally, I create visualizations of public data, e.g. traffic data or election results.
I maintain a collection of articles which I've found helpful in my professional development, especially in my data science journey. Feel free to contribute.
I'm hosting a number of smaller projects on GitHub. This includes e.g. cookiecutter templates, bashrc templates, or minimal examples for creating machine learning services. Feel free to have a look around.
In my PhD thesis, I've analyzed proton collisions at CERN's Large Hadron Collider to derive insights on the structure of matter. At the same time, I've co-written the ARTUS framework for data analysis in high-energy physics. Its architecture and design principles are described in a separate paper.