I am a Junior Data Scientist and Software Engineer with a strong foundation in machine learning, deep learning, and data-driven decision-making. I am currently pursuing my degree in Computers and Data Science at Alexandria University. I am dedicated to leveraging AI, data science, and software development to create innovative solutions for real-world challenges. My expertise lies in designing intelligent systems, optimizing data workflows, and implementing scalable technologies.

📌 Organic Waste Management System

• Developed a detection model and Volume Estimation modeling system to estimate organic waste weight for sustainable hydrogen production.
• Integrated deep learning, image processing, and data visualization.

📌 Multi-Site Inventory Management System

• Designed a distributed database system for real-time inventory tracking across multiple locations.
• Used SQL Server, data fragmentation, and replication to ensure efficiency.

📌 Customer Churn Prediction for DEPI Scholarship

• implements advanced machine learning techniques to predict customer churn behavior. By analyzing patterns in customer data, businesses can identify at-risk customers and take proactive steps to improve retention.

Check out more of my projects here

"Code is the closest thing we have to magic—turning logic into limitless possibilities!" 💚

⭐️ If you like my work, consider giving a star to my projects! ⭐️