Faridah Nakabugo

I'm building on my geospatial data background to deliver data analysis and visualization for social-impact questions. In a Power BI water access dashboard, I identified shared taps as the primary source for approximately 9 million rural and 3 million urban users.

I created DAX measures that surfaced gender disparities in water queues, including women comprising 66% of queues and peak Saturday waits exceeding four hours. I also analyzed water-collection crime data, finding that 64% of incidents disproportionately affect women.

At Redeem Consults Limited, I've led field survey workflows for an 80 km topographic survey and collected and validated geospatial data across more than 100 cadastral and engineering projects. My work combines practical data quality discipline with Python, SQL, Power BI, machine learning, model evaluation, and NLP fundamentals.

I'm also contributing as a remote data analyst with Women in Geospatial, analyzing social media engagement in Excel, and have supported humanitarian mapping by digitizing and validating more than 9,300 buildings.