My job consists of analyzing data and communicating results with the goal of delivering insights that drive innovation and growth. I am skilled in various data science domains: data pre-processing, application of statistical methods, Text Classification with Natural Language Processing (NLP), and model training and fine-tuning.

At Mobimeo GmbH, a Deutsche Bahn subsidiary, I led cross-functional teams to enhance customer satisfaction through data-driven product innovations. My expertise in creating dynamic dashboards and comprehensive reports has significantly improved decision-making efficiency. A notable achievement is developing a sentiment analysis model using NLP, which streamlined customer feedback processing for the UX Research team.

Previously, at Helmholtz-Zentrum Berlin/Humboldt University of Berlin, my focus was on the computational study of organic molecules in hybrid semiconductors. This involved sophisticated simulations and statistical analysis, deepening the understanding of semiconductor behaviors on atomic and molecular levels.

Combining real-world business analytics with academic research, I bring a comprehensive and nuanced perspective to data analysis, dedicated to uncovering insights that foster measurable progress.