Based in Greece 🇬🇷 | Speaks: English (C2), Greek (Native), German (B1)
I am a Data Scientist currently pursuing my MSc in Data Science at the International Hellenic University. My background is in Computer Science, and I specialize in building scalable Machine Learning models, NLP systems, and data visualization pipelines.
- 🔭 I’m currently working on AI & ML applications.
- 🎓 I previously researched Fake News Recognition for my BSc Thesis.
- 📊 I have experience in Digital Marketing Analytics and business intelligence.
Languages & Core:
Machine Learning & AI:
Deployment & Tools:
Visualization & BI:
| Project | Tech Stack | Description |
|---|---|---|
| MovieVec (Semantic Search & RAG System) | Python, PyTorch, FAISS, FastAPI, Docker | Built a semantic search engine for 800K+ movies using Sentence Transformers. Features vector databasing, cross-encoder re-ranking, and is deployed as a GPU-optimized service (<500ms latency). |
| Fake News Detection | TensorFlow, NLTK, Scikit-learn | Developed NLP models for fake news classification across three large-scale datasets. Achieved 78.33% accuracy via optimized text preprocessing and tokenization. |
| Customer Segmentation | Python, Power BI, K-Means, RFM | Team Lead. Developed K-Means and RFM segmentation models and churn forecasting. Created Power BI dashboards to improve targeting accuracy for marketing decisions. |
| Question Similarity | Scikit-learn, PyTorch, S-BERT | Built a duplicate question classifier using TF-IDF and Sentence-BERT embeddings. Compared XGBoost/LightGBM/LSTM models, achieving 0.26 log loss. |
MSc in Data Science | International Hellenic University (Thessaloniki) 2024 – Present
- Focus: Machine Learning, Deep Learning, NLP, Big Data & Cloud Computing, Advanced Databases, Data Science for Business
BSc in Computer Science | University of Thessaly (Lamia) 2017 – 2023
- Thesis: “Smart Recognition of Fake News”