I bridge the gap between Physical Engineering Systems and Digital Intelligence. Currently leading Analytics & Automation at ElShorbagy Group, with a vision to apply Industrial AI and Workflow Automation to Sustainable Water Resources Management.

Foundational tools for rigorous data analysis and machine learning.

Bridging legacy industrial systems (PLC/ERP) with modern AI logic.

Applying data engineering to solve environmental challenges.

• 🌍 Environmental Data Analysis: Time-series forecasting for resource management.
• 📡 Remote Sensing: Analyzing satellite data for agricultural/water insights.
• 💧 Smart Irrigation: Integrating IoT sensors with AI decision support systems.

Ensuring robust, scalable, and secure deployment of models.

• Cycle Time Optimization: Reduced industrial downtime by 35% using real-time data pipelines (PLC -> SQL -> Power BI).
• AI Agents for Business: Deployed autonomous agents using n8n and LLMs to handle complex queries and bookings.
• Environmental Modeling: (Upcoming) Leveraging Neural Networks/SVR for rainfall and drought prediction.