About Me
My passion for data started with one question: how can computers and data lead to better outcomes? That curiosity took me from a Bachelor's in IT to a Master's in Computer Science at Universität Bayreuth, where I focus on machine learning, data analysis, and the ethics of AI systems.
I will be joining TenneT in June 2026 as a Working Student in Data Analytics, where I'll be supporting renewable energy monitoring and grid data analysis.
My internships and personal projects have mostly been about making data usable from building pipelines, putting together dashboards, and occasionally building models to answer questions before someone has to ask them manually.
Projects
Olist E-Commerce Analysis
End-to-end SQL analysis of 100,000+ Brazilian e-commerce orders exploring revenue trends, customer distribution, logistics performance, and seller rankings. Migrated from SQLite to Google BigQuery. Interactive Tableau dashboard published on Tableau Public.
Fairness and Transparency in AI
Built an interpretable ML system to detect racial bias in COMPAS recidivism scores using a hybrid Logistic Regression + Naive Bayes pipeline, Surrogate Models, and LIME. Includes a bias warning system and model confidence scores.
China's Rhetoric in the UNSC
Applied NLP and Structural Topic Modeling (STM) in R to 20 years of UN Security Council speeches, uncovering rhetorical shifts before and after Xi Jinping's ascension to power. Identified 10 key diplomatic topics and compared China–USA speech patterns geographically.
My Skills
Languages
- Python (Pandas, NumPy)
- SQL
- R
Databases
- BigQuery
- MySQL
- SQLite
BI & Visualization
- Tableau
- Power BI
- Matplotlib / Seaborn
Machine Learning
- TensorFlow
- Scikit-learn
- Keras
Get In Touch
I'm currently open to new opportunities and collaborations. Feel free to reach out!
Say Hello