Professionally, I've gained hands-on experience as an Office Manager at Christoph Osterhaus Heizung Sanitär, and I am now actively seeking Data Scientist internship opportunities to apply my quantitative and economic skills to solve real-world problems.

Combining econometrics and machine learning: I have a strong ability to combine traditional panel methods with modern machine learning approaches, such as random forests and hyperparameter tuning.

The module 'Using Data to Address Societal Challenges' (1.0), taught by Prof. Teodora Boneva Ph.D., was a pivotal experience in my studies at the University of Bonn. It motivated me to apply my data science expertise to issues where a series of individual micro-decisions result in significant societal challenges, such as the gender pay gap and a lack of intergenerational mobility.