Welcome to my portfolio—a collection of projects and experiences that reflect my journey in data analysis and problem-solving.
Here, you’ll find examples of my work with Python, Pandas, NumPy, and applied statistics, where I focus on uncovering insights, creating visualizations, and building predictive models.
Each project highlights not only my technical skills but also my ability to think critically, communicate clearly, and deliver solutions that add value.
Project 1: Addressing Education Challenges in Rural Nigeria
Problem: Rural schools face poor infrastructure, lack of teachers, and limited digital access, leading to high dropout rates.
My Role: Data collection, cleaning, and analysis; visualization of findings.
Tools Used: Excel, Python (Pandas, NumPy), Data Visualization.
Key Insights:
Dropouts linked to poor infrastructure & lack of digital tools.
Communities with support systems retained more students.
Gender disparities limited girls’ school completion.
Outcome: Provided recommendations on teacher training, digital tools, and curriculum reform to improve rural education.
Call to Action
Want to see how I can bring these insights to your organization? Let’s connect.