Welcome to my GitHub profile! I’m a mathematics student with a strong interest in data science, software development, and machine learning. I’m always looking to deepen my understanding in these fields and work on projects that make a difference.

• 🧠 Studying Mathematics with a focus on Numerics and Probability Theory at Ruhr-Universität Bochum
• 🌱 Learning: Java, React Native, and Firebase integration
• 🎯 Career Goal: Become a Data Scientist in Germany with a focus on anomaly detection and predictive modeling
• 📫 Reach me: [email protected] | Instagram: luked_1806

A React Native app designed to help users manage their food inventory efficiently. Features include:

• Barcode scanning with automatic expiration date recognition
• Ingredient-based recipe suggestions to reduce waste
• Shopping list integration and automated notifications for expiring items

A data science project focused on anomaly detection in stock market data, inspired by the Wirecard scandal. Key elements include:

• Sentiment analysis on financial news with NLP techniques
• Time series analysis using deep learning models for predictive insights
• Interactive dashboards and automated reporting

• Data Science Explorations: Various notebooks and experiments with data cleaning, visualization, and machine learning models.
• Java Learning Repository: My journey into Java, with exercises, algorithms, and mini-projects.

• Languages: Python, Java, LaTeX, JavaScript
• Frameworks & Libraries: React Native, Pandas, NumPy, Matplotlib
• Tools: Git, Firebase, Docker, VS Code
• Machine Learning: Scikit-Learn, TensorFlow, Keras (beginner level)
• Databases: Firebase, SQL (basics)

• Build a comprehensive portfolio in data science and software development
• Expand knowledge in anomaly detection, NLP, and time series analysis
• Contribute to open-source pro