I'm a passionate and dedicated Data Science and AI student from Egypt 🇪🇬, currently specializing in Machine Learning, Deep Learning, Algorithms, and Data Analysis at Zewail City of Science and Technology 🎓.

I love diving deep into data, building intelligent systems, and exploring the fascinating world of algorithms! 💡

• 🧠 Studying Data Science & AI, focusing on ML, algorithms, and data analysis.
• 💻 Proficient in Python, Java, C++, and various data science libraries.
• 📈 Experienced in building projects related to Machine Learning, Deep Learning, NLP, Computer Vision, and Software Engineering.
• 🌐 Actively contributing to projects and exploring new technologies.
• 🤝 Always open to collaborating on interesting projects and learning new things!

Here are some of the technologies and concepts I work with:

• Languages: Python 🐍, Java ☕, C++
• Data Science & ML/DL: Scikit-learn, TensorFlow/Keras, PyTorch, Pandas, NumPy, Matplotlib, Seaborn, NLP (TF-IDF, BM25, BERT, Elmo ), Computer Vision (OpenCV, EasyOCR, YOLO), Vector Quantization, DPCM
• Core Concepts: Data Structures & Algorithms 📊, Object-Oriented Programming, Software Engineering Principles
• Web: HTML
• Networking: UDP Socket Programming
• Tools: Git, GitHub, Jupyter Notebooks, Kaggle

Here are a few projects I'm proud of:

1. Cakery 🎂

   • An online bakery platform where customers can browse, customize, and order cakes and pastries, with features for store staff to manage logistics and operations.
   • Supports customer registration, order management, and product inventory.
   • Keywords: Flask, OAUTH, JWT, Object-Oriented Programming, Design Patterns, Postgressql

2. Data Compression Techniques 💾

   • Implementations of various lossless (Huffman, Adaptive Huffman, LZ) and lossy (DPCM, Trained VQ) data compression techniques in Java.
   • Includes detailed implementations, reports, and image reconstruction evaluation.
   • Keywords: Data Compression, Java, Huffman Coding, LZ, DPCM, Vector Quantization

3. sic-dl-Arabic-Car-License 🚗

   • A deep learning project for detecting and recognizing Arabic car license plates using YOLOv8 and Tesseract OCR.
   • Includes preprocessing, annotation, training, and video inference for real-time recognition.
   • Keywords: Deep Learning, Computer Vision, YOLOv8, OCR, Tesseract, Python, Arabic NLP

4. sic-ml-us-airline-delays ✈️

   • A machine learning project predicting flight delays using US airline data.
   • Explores preprocessing, feature engineering, model training (Random Forest, XGBoost), and evaluation.
   • Keywords: Machine Learning, Data Analysis, XGBoost, Random Forest, Python, Pandas, Scikit-learn

(Check out my repositories tab for more!)

Find me on other platforms:

• LinkedIn: linkedin.com/in/ahmed-abdelghany-2b4621253
• Kaggle: kaggle.com/ahmedabdelghagny

Thanks for visiting my profile! 😊