I built a Dubai Real Estate Growth & Value Model in Power BI from 500,000+ property transactions, identifying the top 10 undervalued, high-growth investment corridors. By redesigning the model with a Star Schema and Aggregated Fact Table, I cut its size by 90% and reduced report load time to sub-second.
At StackHelix, I owned data analysis and Power BI reporting for three concurrent client accounts within a 50+ person consulting team, delivering dashboards through weekly client sessions. I cross-validated client-facing findings against independent data sources and industry reports, while using SQL and Python to support forecasting requests.
I've also improved marketing data accuracy to 99%, delivered funnel analysis that improved process efficiency by 17%, and built retail BI and housing-price prediction projects using Power BI, Python, and statistical modelling.
