About Me
My passion for data was sparked by one key question: In what ways can computers and data lead to better outcomes? This curiosity led me from a Bachelor's in IT to my Master's in Computer Science & Philosophy at Universität Bayreuth. I chose this unique path because I believe the future of tech isn't just about code, it's about asking the right questions regarding AI ethics and alignment.
I have hands-on experience from internships in data analysis and predictive modeling, working with real datasets and non-technical stakeholders.
I am currently looking for Werkstudent and Internship opportunities in Data Analytics, Data Science, and Machine Learning where I can keep building things that matter.
Projects
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 in R to 20 years of UN Security Council speeches, tracking rhetorical and sentiment shifts across China's leadership change.
Pomegranate Disease Detection
A web-based application utilizing CNNs to accurately detect pomegranate diseases like Bacterial Blight and Bitter Rot, suggesting appropriate treatments.
My Skills
Languages
- Python (Pandas, NumPy)
- SQL
- R
Databases
- PostgreSQL
- MySQL
- MongoDB
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