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Yvvone MuliYM
Open to opportunities

Yvvone Muli

@yvvonemuli

Data Analyst who turns numbers into actionable insights for smarter decisions.

Kenya
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What I'm looking for

I’m looking for a role where I can use SQL, Python, and Power BI to turn data into clear dashboards and recommendations. I want a team that values accuracy, structured problem-solving, and business communication.

I’m an analytical, insight-driven Data Analyst with a background in Mathematics (Statistics) and Computer Science. I’m passionate about uncovering the story behind numbers—identifying patterns, trends, and insights that lead to clear, actionable business decisions.

I build end-to-end analytics solutions using SQL and Python, then turn results into easy-to-consume dashboards with Power BI and Tableau. In my projects, I focus on segmentation, KPI logic, and business-ready recommendations—not just analysis.

In an internship at Kenya Marine and Fisheries Research Institute (KEMFRI), I analyzed support logs to troubleshoot hardware failures, maintained departmental data logs with SQL for accuracy and fast retrieval, and built Power BI dashboards to track ICT infrastructure metrics. I also streamlined data collection with Excel Power Query to reduce manual work.

What I bring is structured problem-solving, attention to detail in data cleaning and reporting, and strong business communication. I aim to join teams where data storytelling, reporting, and practical insights help organisations make smarter choices.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

CO

Coursera

Google Data Analytics Professional Certificate, Data Analytics

Earned the Google Data Analytics Professional Certificate issued through Coursera (June 2026).

Technical University of Mombasa logoTM

Technical University of Mombasa

Bachelor of Science, Mathematics (Statistics) and Computer Science

BSc in Mathematics (Statistics) and Computer Science from the Technical University of Mombasa, graduating in December 2025, with focus on statistical computing, database systems, and quantitative analysis.

Tech stack

Software and tools used professionally

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