Work

I am an economics graduate with a strong focus on data science and applied machine learning. My academic and professional journey has been shaped by hands-on experience in real-world data projects.

At the University of Hamburg, I worked as a teaching assistant in the course Machine Learning for Economics and Finance, where I transformed course materials from R to Python and developed interactive data analysis workflows using Jupyter and RMarkdown. Additionally, I contributed to the international research institute DESY, where I supported the organization of a scientific conference and developed a Python-based submission tool for peer-reviewed publications.

In my thesis, I applied Large Language Models such as GPT-4 and LLaMA 3.1 to classify corporate decarbonization pledges from financial news.

I am passionate about turning complex data into meaningful insights – with a sharp eye for structure, accuracy, and real-world impact.