Projects I document as I work on them: Power BI, Python, automation, and analytics. These double as my portfolio.
Seven source systems into one live dashboard, built end to end
After owning the business logic of an enterprise footfall model, I built an entire analytics platform myself: synthetic data, medallion pipeline, star schema, and a React dashboard. With AI as the pair-builder and my judgement as the safety net.
One trusted footfall number across 70+ brands and 3 regions
Door sensors, AI cameras, restaurant POS guest counts and web sessions, across the Middle East, Turkey and Central Europe. I owned the business logic that made them one trusted number.
~30K row flat export rebuilt into a 4-table star schema
A hierarchical Odoo POS export, nearly 30,000 rows deep, rebuilt into a four-table star schema and two dashboards. Including the measure that catches a cashier whose errors cancel out.
Galaxy schema over ~500K synthetic rows, ~45 DAX measures, 3 audience pages
A portfolio Power BI project on fully synthetic data. One model that answers both clinical and donor questions across a 31-country humanitarian health program.
Margin variance cut from 48% to under 2% after two years unsolved
A root cause analysis across a Medallion data platform. How I traced a long-standing cost gap to two hidden causes and worked with engineering to fix both.
2.5 days of work down to under 3 minutes. 109,406 KWD saved. CTO Award.
An in-house Excel, VBA and Power BI tool that automated 400+ data quality rules, replaced a six-figure platform, saved 109,406 KWD, and earned a CTO award.