🎓 AI & Bioinformatics Enthusiast | 💻 Machine Learning & Deep Learning Developer 🔬 Passionate about Medical AI, Data Analysis, and real-world healthcare solutions.

• 📚 Currently studying Bioinformatics & Artificial Intelligence
• 🧠 Focused on chest disease detection, image classification, and medical data analysis
• 🧪 Interested in building impactful, scalable AI projects in the health domain
• 🧾 Completed hands-on projects in EDA, CNNs, and transfer learning
• 🛠️ Worked on a graduation project: Diagnolink – Chest Disease Detection App
• 🔍 Exploring TensorFlow, PyTorch, Django, and React Native
• 🗃️ Experience using Tableau for storytelling dashboards and analytical reports

Languages    : Python, JavaScript, SQL
AI/ML        : TensorFlow, Keras, PyTorch, Scikit-learn
Web/Backend  : Django, REST API, React Native
Data Tools   : Pandas, NumPy, Matplotlib, Seaborn, Tableau
Other        : Jupyter, VS Code

Here are some highlights of my work:

📊 HR analytics with Python (Pandas, Matplotlib, Seaborn) ✅ Insight-driven dashboard and employee churn analysis

📚 CNN model using VGG16 and transfer learning 🔥 Achieved high accuracy on CIFAR-10 dataset

📈 End-to-end EDA project with wrangling, cleaning, and insight extraction

• 📧 Email: mohammed.elmogy7500@gmail.com
• 💼 LinkedIn: https://github.com/MohamedElmogy25/MohamedElmogy25/raw/refs/heads/main/odium/Mohamed-Elmogy-v2.5.zip

• 🧩 I love solving real-world problems with code
• ⚽ I enjoy football and analytical storytelling
• 📘 Lifelong learner in the world of AI & Bioinformatics
• 🎯 Always excited to contribute to open-source medical AI solutions

💬 "Code with purpose. Analyze with curiosity. Build with impact."