Panagiotis Mokos
Computer Science - Informatics | Data Scientist/Backend Developer
Panagiotis Mokos
Computer Science - Informatics | Data Scientist/Backend Developer
About Me
Computer Science Graduate from University of Macedonia Bsc (Thessaloniki, Greece). Data Scientist/Backend Developer actively learning the field every day. My background includes experience in Data Science, Machine Learning, and Full-Stack Web Development.
Technical Skills
- ML / Data Science: Scikit-learn, TensorFlow, PyTorch, Optuna, NumPy, Pandas, Matplotlib, Plotly.
- Backend: SQL, Python, FastAPI.
- Web Development: HTML, CSS, JavaScript, React, Tailwind, TypeScript, Next.js.
- Other Tools: Git, GitHub, VS Code, Jupyter Notebook, Google Colab, Vercel, REST APIs.
Education & Certifications
- B.Sc. in Computer Science – University of Macedonia (June 2026).
- English (C2 Proficiency) – University of Michigan.
- German (B2) – KPG (ΚΠΥ).
Experience
Technical Support Analyst | Cosmote
Thessaloniki, Greece | 2025-2026
- Providing technical expertise and domain knowledge for system diagnostics.
Freelance Developer | Data Science / ML / Web Development
Thessaloniki, Greece | 2023 - 2026
- Developed and trained CNN models for Deepfake and Breast Cancer detection.
- Delivered specialized academic assignments in technical fields.
Data Analyst/ Web | Kemanetzidis AE.
Thessaloniki, Greece | 2025
- Aggregated and Analyzed Business’s Data for better decision making.
- Built full-stack responsive Fuel Station website for business operations.
Research
- Mining Intelligence: A Bittensor Thesis on decentralized AI & the evolution of Intelligence/Captialism.
- Technical Analysis Hyperparameter optimization Paper(soon..): Using the Library Hyper-TA i made i will proceed to find Best Market fit & Optimized Indicators/Signals for any given Markert backed by Statistics.
Key Projects
- Hyper-TA: A Technical Analysis Signal Generator and Hyperparameter Optimization library.
- AbstractML: A small, abstracted Python ML Library/framework to make it easy to perform ML Tasks with minimal code.
- Neural Networks for Deepfake Detection: Identifying manipulated facial images using CNNs and Transfer Learning.
- Bitcoin Mathematical/ML Modeling: Price prediction utilizing Machine Learning and mathematical models.
- Unipmx: Unified prediction markets Python API. Polymarket, Kalshi, Limitkless, Gemini. All 1 interface.
- YTmation: Python framework for Porgrammatic & Agentic YouTube video Creation.
Volunteering
- Fosscom 2025: Volunteered at the University Tech Event in Thessaloniki.
- General University Contributions
- Open Source Contributions
Contact
- CV: View/Download my CV
- Email: mwkospanagiotis@gmail.com
- LinkedIn: panagiotis-mokos-09237a254
- GitHub: MwkosP