Janet Mukami
@janetmukami
Data Analyst turning complex datasets into actionable insights with SQL, Python, and Power BI.
What I'm looking for
I’m a results-driven Data Analyst with a BSc in Computer Science and certifications across Oracle, Microsoft Data Platform, and Cisco Data Essentials Analytics. I turn complex datasets into actionable business insights using advanced SQL, Python, and Power BI, while keeping my work grounded in data quality and clear communication.
In my Data Analyst Intern role at Kenya Revenue Authority (KRA), I supported analytics work by processing and validating tax compliance datasets with SQL Server and Excel. I created summary reports and visualisations that informed revenue collection strategy for the Eastern Region, and I participated in data quality audits by identifying and resolving 2,000+ data anomalies in legacy records.
My projects reflect how I build end-to-end analytics solutions: I delivered a sales performance dashboard processing 2M+ transactions with Power BI (including row-level security) and adoption by senior management across 3 departments. I also built a churn prediction model using logistic regression and random forest (87% accuracy), uncovering the top churn indicators and helping reduce churn by 18% in six months—while optimizing reporting from 3 days to under 2 hours per cycle.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
Kenya Revenue Authority
Jan 2026 - May 2026 (4 months)
Supported KRA’s analytics team in processing and validating tax compliance datasets using SQL Server and Excel. Created summary reports and visualizations to inform Eastern Region revenue collection strategy and resolved 2,000+ data anomalies during data quality audits.
Education
Degrees, certifications, and relevant coursework
St Paul’s University
Bachelor of Science, Computer Science
2018 - 2022
Grade: Second Class Honours (Upper Division)
Earned a BSc in Computer Science at St Paul’s University from 2018 to 2022, graduating with Second Class Honours (Upper Division).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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