Data Manager, Analyst & Engineer · Data-science tutor
I started in pure mathematics, fell for the part of the world where numbers meet real decisions, and have spent the last five-plus years turning messy data into systems people can trust. Today I manage data for multi-site clinical research at CHPR in Bamenda, take on freelance analytics and automation work, and teach the tools I use every day. My favourite projects are the ones where careful data work quietly changes what a team can do.
My foundation is mathematics — a BSc in Pure Mathematics from the University of Bamenda (2015–2018) that taught me to sit with a hard problem until it makes sense. Wanting to build things rather than only prove them, I earned a master's in Artificial Intelligence (Simplilearn–IBM, 2019–2021) and worked as an AI and machine-learning engineer, remotely for teams in India. At Shiga Corp and then Rework AI I fine-tuned open-source GPT models from Hugging Face, built tools like résumé and job-description generators, scraped and shaped data, and shipped Streamlit apps.
In April 2022 I joined CHPR — a healthcare NGO in Bamenda — as Data Manager, and everything clicked. Clinical research generates exactly the messy, high-stakes data I enjoy: multiple databases, lab machines exporting in different languages and encodings, field teams collecting on phones, and reports that have to be right. I architect the pipelines that pull it together, the data-quality checks that keep it trustworthy, the Microsoft 365 automations that remove manual work, and the Power BI dashboards people rely on. In 2023 I earned the Microsoft Power BI Data Analyst Associate certification.
Along the way I kept getting asked the same thing: "Can you help me with my data?" — students before a thesis defence, colleagues with a spreadsheet that wouldn't behave, small organizations drowning in exports. So I began taking on freelance work and tutoring on the side, and found I love the teaching as much as the building. That's why this site has two halves: the work I deliver, and the skills I help other people learn.
A short timeline — most recent first.
I turn raw, messy data into something reliable and useful: cleaning and joining datasets, automating the boring exports, building data-quality checks, and creating dashboards and reports that answer real questions. For students, I do the same thing one-on-one — with their own thesis data.
Yes — that's most of my work. I've unified five separate databases into one reporting system, parsed lab-machine exports across four character encodings and two languages, and issued around two million collision-free tracking codes. Messy is normal.
Both, depending on what you need. For organizations, I deliver the finished work. For students, I tutor — I walk you through every step so you understand and can defend it yourself. I never ghost-write a thesis.
Python (pandas, Polars, scikit-learn), SQL, Power BI, SAS, Excel and SPSS, plus REDCap, Airflow and the Microsoft 365 / Graph stack for automation. I pick the tool that fits the problem and your context — not the trendiest one.
Yes to both. I'm based in Bamenda and work with people locally and remotely. Native French, fluent English — sessions, reports and deliverables can be in either language.
Tell me about your project, question or goal. I reply within 24 hours, in English or French.
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