My name is Florian Wilhelm and I am a Data Scientist living in Cologne, Germany. In my spare time, I contribute to several OSS-projects and created PyScaffold, a Python project template generator, amongst others.
I studied mathematics at the Karlsruhe Institute of Technology (KIT) with a focus on numerical mathematics and computer science as a subsidiary subject. After my studies, I worked on Parallel Preconditioners for an Ocean Model in Climate Simulations and graduated from university (KIT) with a PhD degree. The main focus of my work was the mathematical modelling of the governing equations of fluid dynamics in order to optimally solve them with the help of high-performance computing (HPC) on a large-scale cluster. As Head of the Research Lab for Application and Innovation at the Institute of Applied and Numerical Mathematics, I worked in several industry-funded projects and supervised bachelor and master students.
After my postdoctoral position I started as a Data Scientist at Blue Yonder, the leading provider of AI solutions for retail. Right now I enjoy working on innovative Data Science projects with experts every day at inovex where I am Head of Data Science. With more than eight years of project experience in the field of Predictive & Prescriptive Analytics and Big Data, I have acquired profound knowledge in the domains of mathematical modelling, data science, statistics, machine learning, high-performance computing and data mining.
For the last years I programmed mostly with the Python Data Science stack (NumPy, SciPy, Scikit-Learn, Pandas, Matplotlib, Jupyter, etc.) to which I also contributed several extensions. Due to my participation in many industry projects, I have also gained much experience in Databricks Spark, bringing data science to production and in general the development of data-driven services.
If you want to know more, please read all about my professional details in my résumé or on LinkedIn. A selection of my talks can be found on YouTube.