Fueled by curiosity and a passion for solving real-world problems, I transform raw data into actionable business solutions. Currently seeking opportunities to apply my skills in dynamic environments.
Fueled by curiosity and a passion for solving real-world problems, I transform raw data into actionable business solutions. As an AI student, I blend academic rigor with hands-on experience, having delivered interactive dashboards, predictive models, and data-driven strategies for diverse organizations.
My journey includes certifications from Google, Microsoft, AWS, and IBM, and practical experience through the ALX Africa Data Science program, where I've built projects ranging from business analytics to machine learning applications.
Translating complex data into clear, actionable insights for decision-makers.
Building predictive and classification models with Python, SQL, Power BI, and Tableau.
Collaborating with cross-functional teams to drive results and share knowledge.
Always seeking to expand my skills and stay updated with the latest technologies.
Full-stack Data Engineering and Business Intelligence (BI) solution designed to create, process, and analyze synthetic e-commerce data. Demonstrates ability to build and orchestrate scalable, production-ready data pipelines.
Comprehensive Power BI dashboard analyzing sales, inventory, and profitability. Showcases end-to-end business intelligence skills with data integration, star schema modeling, and DAX measures.
Google Data Analytics Professional Certificate Capstone Project analyzing Cyclistic bike-share data to uncover rider behavior trends and actionable insights. Cleaned and merged large datasets using Excel.
Conducted data cleaning, visualization, and feature engineering to analyze survival patterns. Built and evaluated classification models (Random Forest, Logistic Regression) to predict survival with Kaggle score of 0.76315.