Data Analyst & Software Engineer turning raw data into decisions and
ideas into shipped software — Python, SQL, machine learning, and
full-stack systems, all committed to main.
01 // about-me.md
I'm a Data Analyst and Software Engineer who enjoys sitting at the intersection of the two — using data to understand a problem, then writing the software to actually solve it. Recent work spans healthcare research platforms, institutional data systems, and applied public-health analytics, built for real organizations rather than as coursework.
Whether it's architecting a clinical research platform for haematology data, building exam and records systems for a Nigerian polytechnic, standing up inventory and POS systems for a retail business, or training a model that predicts blood glucose levels, I like problems that start messy and end shipped.
02 // stack.json
03 // projects --all
Recent production work across healthcare, institutional systems, and public-health data — currently in private repos. Happy to walk through the code directly.
04 // git log --stat
Live stats, straight from the GitHub API — not screenshots.
$ curl contrib-graph → timed out, view live on GitHub →
05 // git log --author=brian --oneline=false
Continuing to build, break, and rebuild — looking for a team where I can do both data and software work.
Built and shipped a clinical research platform for haematology data, records & exam computation systems for a Nigerian polytechnic, and inventory/POS systems for a retail business — real users, real data, in production.
An ML-powered glucose prediction app, WASH performance analysis for public health facilities, and symptom-clustering research for differential diagnosis — moving from raw data to decisions.
Low-level C, data structures & algorithms, shell scripting — a UNIX shell and a bytecode interpreter built from scratch. The fundamentals everything else is built on.
06 // contact.sh
Open to Data Analyst and Software Engineering opportunities, collaborations, or just a good technical conversation.
