Aspiring Data Engineer with strong foundations in SQL, Python, and Data Analysis. Expert in building AI-driven automation workflows and interactive dashboards using Power BI. Currently mastering Azure Data Engineering through Microsoft DEPI Scholarship.
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I am a Statistics and Computer Science student at Ain Shams University. I specialize in designing scalable SQL architectures, data pipeline automation, and transforming raw data into actionable insights.
Deepening my expertise in Azure Data Engineering, cloud-native ETL processes, and Generative AI integration for business automation.
SQL, Data Modeling, Database Design, ETL Concepts, Data Warehousing Fundamentals.
Python, API Integration, Automation Scripts, OOP, Google Colab.
Workflow Automation (n8n, Make), Telegram AI Bots, LLM Integration (ChatGPT, Gemini), Gradio AI Apps.
Prompt Engineering, Custom GPTs, AI Assistants, NotebookLM Research, AI Translation Systems.
Azure, Power BI, DAX, Data Pipelines, Looker Studio AI Dashboards.
Overview:
Built an intelligent automation system to handle inquiries 24/7, reducing response lag and capturing high-quality leads.
Key Contributions:
• Developed an AI Agent using n8n and Google Gemini for property recommendations.
• Automated data capture from Telegram interactions directly into MySQL.
• Implemented intent filtering for human-like interaction experience.
Overview:
Designed and developed a relational database for an online electronics store to manage customers, orders, and inventory.
Key Contributions:
• Designed an EER Diagram and applied Normalization (3NF).
• Implemented constraints and relationships using SQL.
• Wrote advanced queries to generate reports on Sales and Inventory.
Overview:
Developed an interactive Power BI dashboard to analyze sales performance and logistics operations.
Key Contributions:
• Cleaned and transformed data using Power Query.
• Built a structured data model and calculated measures using DAX.
• Designed interactive visuals for Revenue, Profit Margin, and Trend tracking.
Ain Shams University - Focus on Mathematical Statistics & Algorithms.
Mastering Azure Data Factory, Databricks, and Synapse Analytics.
Advanced training in ML, Deep Learning, and Generative AI (80+ Hours).