Data Science Student @ The American University in Cairo · Exchange @ University of Helsinki · Machine Learning · Business Intelligence · AR/VR Development
- 🎓 Data Science student at The American University in Cairo
- 📊 Interested in Data Analytics, Machine Learning, Deep Learning, and Business Intelligence
- 🤖 Building projects in NLP, Deep Learning, Computer Vision, RAG, and AI-powered applications
- 🥽 Also interested in AR/VR development
- 🚀 Always learning and building practical data-driven projects
Languages: Python · R · SQL · C++ · C#
Data Science & ML: Pandas · NumPy · Scikit-learn · PyTorch · Jupyter Notebook
Visualization & BI: Matplotlib · Seaborn · Power BI · Tableau · Excel
AI / CV / NLP: RAG · NLP · Computer Vision · OpenCV · TF-IDF · Linear SVM
Tools: Git · GitHub · Flask · CI/CD · Unity · Microsoft Hololens 2
| Project | Description | Stack |
|---|---|---|
| AI vs Human Text Detector | Real-time text classifier that predicts whether text is AI-generated or human-written using TF-IDF features, stylistic features, and a Linear SVM model. Includes Flask API, GUI, CLI client, feedback collection, and automated retraining. | Python, Flask, NLP, Scikit-learn, SVM, CI/CD |
| Sudoku Solver CV | End-to-end computer vision pipeline that detects, extracts, and solves Sudoku puzzles from real-world images. Handles lighting issues, shadows, rotated grids, and different handwriting styles. | Python, OpenCV, NumPy, Computer Vision |
| RAG-Based Sales Data Analyst | Retrieval-Augmented Generation project using a Superstore dataset to answer business-related questions from data. | Python, RAG, Data Analysis, AI Applications, Ollama |
| AR/VR Navigation for Rare Books | Ongoing mixed-reality project for Microsoft HoloLens 2, developed with Unity to visualize and present rare books from the AUC Library through an interactive AR experience. | Unity, C#, Microsoft HoloLens 2, AR/Mixed Reality |
| Diabetes Risk Regression Analysis | Regression analysis project focused on predicting diabetes risk using statistical modeling, diagnostics, and data preprocessing. | Python, Regression, Statsmodels, PCA/PCR |
| Heart Disease Classification | Machine learning classification project focused on heart disease prediction, data preprocessing, model training, and evaluation. | R, Machine Learning, Classification |
| Wine Data Clustering | Unsupervised learning project applying clustering techniques to identify patterns and group similar wine data points. | R, Clustering, K-Means, Hierarchical Clustering |
| Fitness Strategies Data Analysis | Exploratory data analysis project studying gym user behavior, trends, and useful insights through Python-based analysis. | Python, Pandas, Matplotlib, EDA |
| AUC Indoor Navigation System | Indoor navigation system for AUC's HUSS building using A* pathfinding, an interactive Qt GUI, and graph-based route planning. | C++, Qt, A*, Graphs |
| Matching Cards | C++/Qt memory card-matching game focused on interactive GUI design and basic game logic. | C++, Qt, GUI |
