
Telco Customer Churn Prediction
End-to-end ML pipeline to predict telecom customers at risk of churning using XGBoost and Random Forest, deployed as an interactive Streamlit application.
Hi! I'm
I'm a Data Scientist & Applied AI Specialist. I design predictive models and intelligent data pipelines that cut costs, drive revenue, and scale businesses.
I help in analyzing data, proposing solutions to improve sales productivity, and organizing workflows within the company.

AI systems built around your business goals — measurable, scalable, and tailored to your industry.
Forecast churn, demand, and revenue with production-grade machine learning models tailored to your data.
Replace manual reporting and decision-making with AI agents and automated pipelines that work 24/7.
Uncover patterns, customer segments, and revenue streams hiding in your existing data.
Not sure what to do with your data? I'll analyze your case and give you a clear, actionable plan — no obligation, no fluff.
Where regulatory rigor meets analytical precision.
I'm a Professional Data Analyst at the Ministry of Communications & Information Technology (MCIT), with a rare hybrid background combining a Master of International Law (LL.M) with deep expertise in SQL, Python, Power BI, and AI.
Over 150+ delivered projects, I've helped public-sector and private clients translate raw data into decision-ready dashboards, automate compliance workflows, and build predictive models grounded in legal and regulatory context.
Beyond analytics, I'm a UN COP27-recognized leader and a 15+ year volunteer with the Life Makers Foundation — bringing the same discipline to community impact.
Categorized expertise across analytics, BI, automation, and domain knowledge.
From legal operations to public-sector analytics leadership.
A showcase of production-ready dashboards, AI applications, predictive models and data-driven solutions — built with Power BI, Excel, Orange and Python.

End-to-end ML pipeline to predict telecom customers at risk of churning using XGBoost and Random Forest, deployed as an interactive Streamlit application.






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Start Your ProjectA foundation in law, AI, and a 15-year track record of community leadership.
Applied AI & Machine Learning specialization.
Specialized in international regulatory frameworks.
Foundation in legal reasoning and compliance.
15+ years leading youth development & community initiatives across Egypt.
UN-recognized leadership at the Climate Change Conference, Sharm El-Sheikh.
Industry-recognized credentials from Microsoft, Google, IBM, Harvard, and more.
Military Technical College — 2026
Cairo University — 2025
Microsoft
Google / Coursera
IBM
Microsoft
Harvard University
Al-Azhar University — 2019
What clients and recruiters most often ask about my hybrid Data + Law profile.
End-to-end data work: data cleaning and modeling in SQL/Python, interactive Power BI and Excel dashboards, KPI design, sales and HR analytics, forecasting, and AI/ML proofs of concept. 150+ delivered projects across MCIT and freelance engagements.
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