🎓 Economics M.Sc. student based in Cologne with a growing focus on Data Science & Analytics.
💻 Skilled in Python & R for data analysis, machine learning & statistical modeling.
📊 Passionate about turning data into insights and business impact.
- Python
pandas,numpy,matplotlib,seaborn,statsmodels,datetime - R:
ggplot2,dplyr,tidyverse,caret - Web Scraping:
BeautifulSoup,requests,selenium - AI Integration:
openai,transformers - ML & Deep Learning:
scikit-learn,pytorch,keras,tensorflow - SQL: MySQL, SQLite, BigQuery
- Data Viz & BI: Power BI, Excel
- Dev Tools: Git, GitHub, Jupyter Notebook, VS Code
- Pricing Analysis – Predicted optimal prices using regression models & elasticity analysis
- NPS Dashboard – Developed a Power BI dashboard with a Python-based GPT-4 NLP pipeline to classify and visualize customer feedback insights
- Bank Customer Churn Prediction – Predicted customer churn using classification models and interpreted key drivers with SHAP
- Credit Risk Prediction – Developed a credit scoring model to assess loan default risk based on historical borrower data
- GDP Forecasting - Germany – Forecasted Germany's GDP until 2030 using time series modeling (Prophet/ARIMA)
Feel free to reach out via LinkedIn or check out my work here on GitHub.
What began as a script to secure concert tickets became the starting point of my journey into programming and data.