I build the pipeline underneath the dashboard — cleaning, modeling, and warehousing data with SQL Server, Python, and Power BI, so the numbers hold up when someone actually acts on them.
I'm a Statistics graduate who fell for the unglamorous half of data work — the cleaning, the modeling, the warehouse architecture nobody sees but everything depends on. I work across SQL Server, Python, Power BI, and Tableau, building using Kimball star schemas and Medallion (Bronze / Silver / Gold) pipelines, because a dashboard is only as trustworthy as the data flow underneath it.
My path started in a statistics classroom in Khartoum and ran through a national household survey and an airline's operations desk before landing here in Abu Dhabi. Along the way I learned that the most useful question in any dataset usually isn't the one you started with — while digging into three years of global layoff data, I found that a company's layoff risk had almost nothing to do with funding raised, and everything to do with whether it was publicly traded.
That's the kind of finding raw numbers hide until someone asks the right question. I'm currently looking for a Data Analyst role where I can bring that same mix of statistical rigor and hands-on engineering to a messy dataset or a dashboard that isn't telling the story it should.
A CRM/ERP sales data warehouse built from scratch on SQL Server using Medallion architecture — Bronze for raw landed CSVs, Silver for cleansing and enrichment, Gold for a Kimball star schema (dim_customers, dim_products, fact_sales) ready for BI consumption.
End-to-end analysis of 2,361 global layoff events across 51 countries. Found that funding raised barely correlated with layoff size (r = 0.077) — while publicly-traded companies accounted for 45% of all layoffs in the dataset. Delivered as a 5-page Power BI dashboard plus a D3.js interactive map.
A forecasting study for Al Karama Aviation modeling expected passenger movement, peak travel periods, and key routes into and out of Khartoum following the Hajj season, to support transportation planning and operational readiness.
I'm open to Data Analyst and BI Analyst roles across the UAE — send me a message, I'd love to hear about it.