Computer Science student at Nnamdi Azikiwe University, building clean, efficient Python solutions — from web scraping pipelines to data visualisation and analysis projects.
Who I am
I don't just analyse data — I tell its story. Every dataset has a narrative buried inside it: a problem someone is living with, a decision waiting to be made, a pattern that changes everything once you see it. My job is to surface that story clearly and turn it into something actionable.
I'm focus-driven and strategic. When I take on a problem I commit to it fully — mapping out the path, anticipating the obstacles, and when one route is blocked, finding another. I don't stop at "this didn't work." I ask why, adjust, and keep moving until the best solution is in front of you.
At the end of the day, my goal is simple: deliver the best possible outcome for every client, company, or collaborator I work with — whether that's a clean scraper that runs without breaking, a dashboard that makes a trend impossible to ignore, or a report that makes a complex problem feel suddenly solvable.
Analysis without context is noise. I pair every insight with a clear narrative — turning numbers into decisions.
I commit fully to every problem I take on — no half measures, no dropped threads.
When the direct path is blocked, I find another. Obstacles are just redirects toward a better solution.
The measure of good work is whether it genuinely helps the person who asked for it.
What I work with
pandas · NumPy · Matplotlib · scikit-learn · ReportLab · SciPy
BeautifulSoup4 · Requests · HTML/CSS parsing · data pipeline construction
Jupyter Notebook · Google Colab · CSV/XLSX processing · statistical analysis
Text preprocessing · tokenisation · classification · foundational ML workflows
Git · GitHub · Replit · Pydroid 3 · Upwork (Freelancer Plus) · Android-first workflow
PDF creation with ReportLab · structured report automation pipelines
What I've built
Comprehensive demographic analysis of the UCI Adult Census Income dataset (~48k records). Computes 8+ statistical metrics including racial distribution, education–income correlations, and country-level high-earner percentages using idiomatic pandas.
View on GitHubPublication-quality visualisation of global mean sea level rise using the CSIRO adjusted dataset (1880–2013). Applies linear regression to project dual trend lines through 2050, illustrating the acceleration of modern sea level rise.
View on GitHubBackground
B.Sc. Computer Science · 300 Level, In Progress · Awka, Nigeria
Let's connect
Available for freelance Python scraping and data analysis projects. Fast turnaround, clean code, and mobile-ready workflow. Reach out via email or find me on these platforms.