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Data Analyst with less than a year in Data Analysis & BI Visualization.
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Highly motivated and results-oriented Data Analyst with 10 months of internship experience. Proficient in SQL, Python, Power BI, and Tableau for data manipulation, analysis, and visualization. Demonstrated ability to identify trends, solve business problems, and communicate insights to stakeholders. Eager to leverage analytical skills to drive data-informed decision-making and optimize business performance in dynamic environments.
Zetech University
Diploma in Data Science & Analytics · Data Science & Analytics
January 1, 2024 – November 1, 2025
Moringa School
Nanodegree in Data Science · Data Science
July 1, 2022 – February 1, 2023
Catholic University of Eastern Africa
BSc. Community Health and Development · Community Health and Development
January 1, 2020 – January 1, 2022
Kurasa Africa
Data Analyst Intern
June 1, 2025 – September 1, 2025
India
Kiondo Market
Data Analyst Intern
July 1, 2023 – December 1, 2023
India
Sales Performance Dashboard
June 23, 2026 – Present
Developed an interactive sales dashboard to monitor revenue trends, customer performance and product profitability. Built visualizations and KPI tracking metrics to support performance analysis across products and customer segments. Performed sales trend analysis to identify seasonal patterns and revenue fluctuations over time. Analyzed customer purchasing behavior and product performance to uncover opportunities for growth and optimization. Automated data preparation and reporting processes to improve reporting efficiency and reduce manual effort. Enabled stakeholders to explore business performance through dynamic filters and interactive visualizations.
View ProjectMedical Appointment No-Show Analysis
June 23, 2026 – Present
Analyzed over 110,000 healthcare appointment records to identify factors contributing to patient no-shows. Conducted exploratory data analysis (EDA) to examine patterns across demographic, scheduling, and attendance variables. Applied statistical tests, including Mann-Whitney U and Chi-Square tests, to evaluate relationships between key variables and appointment attendance. Identified waiting time as a major predictor of missed appointments, with longer delays associated with higher no-show rates. Found notable differences in attendance behavior across age groups, with teenagers exhibiting the highest no-show rates. Provided data-driven recommendations to support scheduling improvements and targeted patient engagement strategies.
View ProjectCultural Fit Analysis
The candidate's project diversity (healthcare, sales) and internship experiences in different sectors (education, retail) suggest adaptability and a broad interest in applying data analysis across various domains. Their achievements in competitions also indicate a proactive and competitive spirit. The target role of Data Analyst aligns well with their demonstrated skills and experience.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project and experience descriptions. Their project diversity and internship experiences suggest an ability to collaborate and adapt to different operational contexts. The focus on reporting automation and stakeholder communication indicates a practical, results-oriented approach.