Results-driven AI and Data Science professional with proven expertise in machine learning, linguistic evaluation, and Arabic language processing. Experienced full-stack developer adept at building end-to-end applications, covering database design through frontend implementation.
Core Competencies:
- 🤖 Machine Learning & Deep Learning
- 📊 Time Series Forecasting
- 💻 Full-Stack Development (React + FastAPI)
- 📈 Data Engineering & Analytics
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Tech: Full-stack weather application with real-time APIs (Open-Meteo, OpenStreetMap), CRUD operations, multi-format data export (JSON/CSV/PDF), and AI-powered weather recommendations. |
Tech: Implemented KNN, Gaussian Naive Bayes, and Decision Trees entirely from scratch using only Python and NumPy. Includes data cleaning, encoding, feature scaling, and comparative visualization. |
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Tech: Time series forecasting with SARIMA vs Random Forest comparison (RMSE: 2.87 vs 14.48). Implemented Z-score anomaly detection and feature engineering on global weather dataset. |
Tech: OOP system with Abstract Factory, Strategy, and Template Method patterns. Integrated AI Performance Analyzer, Recommendation Engine, and Salary Predictor with multi-factor weighted analysis. |
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Tech: Explore my full portfolio with all repositories, contributions, and ongoing projects. |
Programming Languages
Data Science & ML
Tools & Libraries
Platforms & Tools
