I'm a final-year Business Administration student specializing in Business Analytics at the University of Ghana, expected to graduate in September 2026, and I'm actively seeking Data Analyst roles in tech and startup environments across Africa and remotely.
My work centers on turning raw, messy data into decisions people can act on. For my long essay research, I'm building a customer churn prediction model for MTN Ghana using logistic regression, grounding the analysis in Ghana-specific telecom data rather than generic frameworks. On the applied side, I designed and built a multi-page Streamlit data health monitoring application in Python,
I'm proficient in Python, SQL, Power BI, and DAX, and I've applied machine learning and NLP techniques in independent projects including election-article topic modeling (LDA), an HR analytics dashboard, a loan default prediction app, and a clinical database system. I also completed a Power BI analysis of bike-sharing data and turned the findings into a public-facing narrative for LinkedIn — because I believe analytics only creates value when it's communicated clearly to people who aren't analysts.
Beyond the technical work, I and I'm drawn to roles where data work connects to real business or public impact rather than reporting for its own sake. I'm looking for a team where I can keep sharpening both the technical and communication sides of analytics.
