A passionate learner building practical, production-ready AI systems with real-world impact.
- 🎓 AI / Data Science Student
- 📈 Strong interest in Machine Learning for Finance & Trading
- 🧠 Focused on clean ML pipelines, evaluation, and explainability
- 🧩 Strong in Python, Java, SQL, and problem-solving
- 🎯 Goal: Become a Skilled AI Engineer
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Python • Scikit-learn • Time Series Production-grade ML system to predict short-term stock market trend direction using OHLCV data, regime detection, and explainable models. 🔹 No data leakage 🔹 Chronological train/val/test splits 🔹 Tree-based models + tuning 🔹 Market regime detection 🔹 Generalization tested on SPY 🔗 View Repository |
Automated financial data tracking, API integrations, and analytics dashboards. |
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Full-featured booking system with authentication and database integration. |
Personal portfolio website built for recruiters and showcasing projects. |
📘 2024 Apr — Started Data Science / AI Degree
☕ 2024 — Learned Java fundamentals
🌐 2024 — Built first Java-based website
🐍 2025 — Learned Python for data analysis
🛠️ 2025 — Built Java project with MySQL backend
🗄️ 2025 — SQL integration & backend development
🎨 2025 — Full-stack Java website (HTML, CSS, Tailwind)
🤖 2025 — First Machine Learning project in Python
📈 2026 — Built Production-Grade Stock Price Trend Predictor
- 📱 WhatsApp: https://wa.me/94762763973
- 📧 Email: upamadaekanayake@gmail.com
- 🌐 Portfolio: https://upamada-ekanayake.github.io (Coming soon)