Data integrity
Verification, cleansing, quality checks, and careful handling of records before reporting.
Professional experience
Three roles, and the same habit running through them.
Client systems in Kampala, district government records in Ngora, and remote Python delivery. Different settings, same instinct to check the data before anyone reports on it.
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– Present
Data Engineer
Logos Cloud Services (Logos Cloud Edge Ltd) · Kampala, Uganda
- Design and maintain automated pipelines that collect, cleanse, and verify client data for analysis and reporting.
- Build and manage SQL databases and reporting workflows for SME clients in fintech, agribusiness, and logistics.
- Develop Power BI and Python dashboards that turn client data into decisions non-technical teams can act on.
- Support AI and automation work: model-ready datasets, automated quality checks, and reporting trackers.
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IT Intern
Ngora District Local Government · Uganda
- Verified financial transaction data in the Integrated Financial Management System (IFMS) for official government reporting.
- Collected IT infrastructure field data across sub-county offices and compiled it into activity reports for decision-makers.
- Digitised contracts and concession agreements, improving retrieval for the procurement unit.
- Cleansed departmental records during digitisation, flagging missing, duplicate, and inconsistent entries.
- Translated technical findings for district officials and co-documented standard operating procedures for system-access protocols.
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Data Science Intern
Redynox · Remote
- Remote, project-based internship in Python: API data handling, processing, and workflow automation.
- Delivered to structured deadlines with scheduled reviews, working remote-first.
Coursera / IBM Skills Network · November 2025
IBM Data Science Professional Certificate
Completed a 12-course professional certificate covering Python for Data Science, Databases and SQL for Data Science, Data Analysis with Python, Data Visualization with Python, Machine Learning with Python, Applied Data Science Capstone, and Generative AI for Data Science.
The throughline
What carried across all three.
A district finance office and a fintech client look nothing alike. The work of making their records trustworthy is almost identical.
End-to-end delivery
Taking a problem from its structure through to a working system, whether that ends in a report, a pipeline, or a deployed application.
Clear communication
Dashboards, reports, documentation, and recommendations designed for the people using them.
See how this experience becomes a capability.
Review the dedicated pages for data engineering, analytics, and automation.