Data Analyst with hands-on experience turning complex datasets into clear, actionable insights , skilled in Python, SQL, Power BI, and Tableau to help businesses make data-driven decisions.
Data Analyst with a Bachelor's in Business Information Systems from Tanta University. What I like most about this field is taking a messy spreadsheet and turning it into something people can actually act on.
I've worked with datasets running into the tens of thousands of rows, built dashboards that management actually opens every week, and put together reports that helped decision-makers see what the numbers were really saying. My main tools are Python, SQL, Power BI, and Tableau.
Right now I'm pushing further into Machine Learning and Data Engineering trying to build a skill set that covers the full picture, not just the analysis side. I also write on Medium about what I'm learning along the way, mostly so I remember it better myself.
Analyzed HR data for 1,470 employees to uncover attrition drivers across compensation, engagement, and overtime patterns. Built an interactive Power BI dashboard with an Attrition Risk Score and Budget Optimizer, projecting $13.9M in annual retention-related costs.
End-to-end data warehouse and BI project , built a Medallion-architecture pipeline (Bronze/Silver/Gold) in SQL Server and Python to clean, model, and transform 51K+ retail transactions into a star schema, then surfaced profitability, discount, and customer insights through an 6-page Power BI dashboard.
A tool that searches LinkedIn for a company, confirms the right match, and scrapes its public profile — industry, size, headquarters, founding year, and more — into a running, deduplicated Excel dataset. Session-authenticated and headless by default, with a modular codebase separating the UI, scraping logic, and cookie/session validation.
The fastest way to reach me is WhatsApp — I usually reply within a day. You can also find my projects on GitHub and my data writing on Medium.