Information Science
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I design and build user-friendly websites that make information easy to access and engaging to interact with. Alongside web development, I also work in data analysis—cleaning, interpreting, and visualizing data to help uncover insights and support better decision-making. I enjoy combining tech and problem-solving to create solutions that are both practical and impactful.
Web Development: Built and customized websites using HTML, CSS, PHP, and MySQL. Worked on both front-end and back-end to create platforms that are responsive and user-friendly.
Data Analysis: Collected, cleaned, and analyzed datasets using Python, Excel, and visualization tools e.g looker studio, figma. Generated insights to support decision-making and presented results in clear, easy-to-understand formats.
Developed a web-based remote learning platform, integrating quizzes and resource sharing for students and teachers.
Built an e-commerce platform, enabling product listings, shopping cart, and user-friendly checkout features.
Completed an AI-powered data analysis virtual internship (RIT x Excelerate), where I worked on data cleaning, churn analysis, and building a recommendation system.
Mount Kenya University – Bachelor of Science in Information Science
Completed a virtual internship in AI-Powered Data Analysis with Rochester Institute of Technology (RIT) in collaboration with Excelerate (2025).
