Placeholder — your dashboard
−23% churn
Customer churn reduction analysis
Found the three behaviours driving churn in a 50k-row SaaS dataset and flagged the at-risk segments for the retention team.
I clean, analyse, and visualise data so teams can act with confidence. SQL, Power BI, and Python, with an eye for the business question behind the numbers.
Placeholder case studies showing the shape of the portfolio — each leads with the result. We'll swap these for your real projects: the question, what you did, and the number that changed.
Found the three behaviours driving churn in a 50k-row SaaS dataset and flagged the at-risk segments for the retention team.
Analysed two years of sales and stock across 180 SKUs to cut overstock and free up working capital.
Replaced a manual monthly Excel process with a refreshable SQL + Power BI model the team now self-serves.
The stack I use to take a question from raw data to a clear, defensible answer.
The path so far. Swap these for your real milestones, courses, and certificates.
Formulas, pivot tables, and clean reporting.
Joins, aggregation, and shaping real datasets.
Interactive dashboards and DAX measures.
pandas and statistics for deeper analysis.
I'm Ahmed, a student at Sinai University building a career in data analysis. I like the moment a messy spreadsheet turns into a clear story that helps someone decide what to do next.
I'm sharpening my skills across SQL, Power BI, and Python, and I'm looking for a junior role or internship where I can keep learning and contribute. This is placeholder copy — we'll write it in your voice.
Open to junior data analyst roles, internships, and freelance projects. The fastest way to reach me is email.