Tim began his studies in 2013 at the Georg-August University of Göttingen, where he first completed a Bachelor of Science in Economics. He then completed a Master of Science in Applied Statistics, during which time he worked extensively with Python and R programming. He is currently in the process of publishing his master's thesis. Afterwards, he is aiming for a PhD.

Already during his school years, Tim volunteered to tutor fellow students in mathematics. Since 2017, he has been involved in several projects as a research assistant at Georg-August University, where he was able to put his extensive knowledge of statistics into practice. In 2019, while still studying for his Master's degree, he worked as an intern in the area of data architecture and smart analytics at Deutsche Bank AG, where he worked on graph-based clustering and natural language processing, among other things.

Due to his profound knowledge of statistical data analysis and his research experience, Tim is able to competently support students with complex questions. Furthermore, due to his many years of experience as a tutor, he is able to put himself optimally in the shoes of students and convey facts in a comprehensible way.

• Teaching experience: >5 years, both maths and statistics tutoring.
• Research experience in the field of: (Bayesian) Neural Networks, Generalised Linear Models, Econometrics
• Programming and scripting languages: Python (incl. Tensorflow & Pytorch), R
• Software: Pycharm, Jupyter Notebook, Rstudio, Linux Bash