Projects
Microsoft Excel and Tableau
I conducted a comprehensive Udemy Courses Analysis Report Project, where I analyzed thousands of Udemy course records to uncover key trends in course popularity, pricing strategies, instructor performance, and student engagement. I cleaned and explored the dataset, visualized insights through dashboards, and applied statistical analysis to determine factors influencing course success. This project honed my ability to extract actionable insights from raw data, make data-driven recommendations, and present findings in a clear, compelling manner. The final report highlighted opportunities for instructors and platforms to improve course visibility and learner satisfaction, showcasing my strengths in storytelling, data visualization, and business insight generation.
Python and Tableau
In the Flood Predictive Report Project for Lagos State, I led a data-driven analysis aimed at identifying flood-prone areas and forecasting potential flood risks using historical rainfall, topographic, and drainage data. Leveraging Python and machine learning algorithms, I developed a predictive model to classify high-risk zones and visualize vulnerability patterns across the state. I also applied geospatial analysis to map flood hotspots and support disaster preparedness planning. This project demonstrated my ability to work with real-world environmental data, build predictive models, and communicate complex insights to support public safety, urban planning, and climate resilience initiatives in a rapidly growing city like Lagos.
SQL and Tableau
In the Global Superstores Report Project, I conducted a comprehensive analysis of sales, profit, and customer behavior across multiple regions using SQL and Tableau. The goal was to uncover key performance trends and identify opportunities for revenue growth and operational efficiency. By segmenting data by product category, region, and customer segment, I uncovered underperforming markets, high-return products, and profit leakages. I visualized the findings through interactive dashboards, enabling stakeholders to make data-driven decisions regarding inventory management, marketing strategies, and regional expansion. This project showcased my strengths in business intelligence, storytelling with data, and delivering actionable insights for global retail operations.
Python
This analysis explores the evolving challenge of maintaining sufficient healthcare systems by examining the projected doctor-to-patient ratios in Germany and Africa over the next 30 years. Using population growth trends, healthcare workforce data, and migration forecasts, the report highlights a widening gap in doctor availability, especially in African countries. While Germany may experience a relative stabilization due to advanced infrastructure and skilled migration, Africa faces a growing strain due to rapid population growth and continued emigration of healthcare professionals. The analysis underscores the global implications of these disparities, stressing the need for strategic workforce planning, investment in local medical education, and sustainable policies to address the long-term balance of healthcare delivery across continents.
