🎓 Master’s student in Data Science at Aalto University and KTH Royal Institute of Technology.
💡 Passionate about network science, machine learning, and building efficient AI systems that solve real-world problems.
- Network Science & Graph Theory – modeling and analyzing complex relationships
- Machine & Deep Learning – developing predictive and data-driven models
- Model Optimization & Deployment – quantization, efficiency, and embedded AI
- Applied AI Research – from OCR improvement to intelligent data retrieval
Languages: Python · C/C++ · SQL · Java
Frameworks: PyTorch · TensorFlow · Keras
Libraries: Scikit-learn · NetworkX · OpenCV · Pandas · NumPy
Tools: Docker · Git · Azure
Soft Skills: Analytical Thinking · Problem Solving · Collaboration · Curiosity
- 🕸️ Wikipedia Election Predictor
Built a network-based ML model to predict voting outcomes in Wikipedia admin elections (AUC: 0.90). - 📜 Historical OCR Enhancement
Designed a preprocessing pipeline that improved OCR accuracy on historical manuscripts by 6%.
I’m currently looking for a Master’s thesis collaboration where I can apply network analysis and machine learning to solve real-world challenges.
If your organization works with data, networks, or AI-driven systems, I’d love to chat!