Education

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. 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.

Profession

After my postdoctoral position I started as a Data Scientist. With more than three 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, 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 some project work I have also gained experience in R as well as C/C++, Java, Matlab and Fortran.