I'm building automated analytics systems at MTN Mobile Money Uganda, including an SFTP-to-Hive pipeline for virtual card transactions and Power BI dashboards for performance reporting and monthly KPIs.
Previously at SunCulture Uganda, I orchestrated data pipelines with Apache Airflow, implemented dbt transformations in ClickHouse, and automated deployments with GitHub Actions. This work improved data freshness by 40% and reduced deployment time and errors by 25%.
I also developed creditworthiness models that reduced instalment-plan arrears by 15%, and led sales and loan-portfolio analysis that supported stronger pricing, segmentation, and revenue performance.
Across fintech, renewable energy, and logistics, I use Python, SQL, Power BI, and auditable automation to turn operational data into reliable reporting and measurable business improvements.

