Origin — The beginning
I noticed patterns
before I knew what
data was.
Long before I had words like "analytics" or "pipeline," I was the kid who kept score of things nobody asked me to keep score of. Patterns in sport. Inconsistencies in stories. Numbers that didn't quite behave. I wasn't looking for anomalies — I just couldn't not see them.
That instinct followed me into my career. When I encountered my first real dataset, something clicked. The mess wasn't frustrating — it was interesting. Every inconsistency was a question. Every cleaned row was a small answer. I realised I didn't just like working with data. I was built for it.
"The best data people aren't the ones who love tools. They're the ones who genuinely can't stand not knowing what the numbers are really saying."
The Work — 2022 to Present
Three years.
Two industries.
One standard.
My path ran through energy analytics at Amandla Africa Energy — where I managed 10M+ data points and built automated reporting that freed up hours of engineering time every week — and into health research at UCT's Department of Paediatrics.
At UCT, I work in a publication-grade environment. That means data doesn't just need to be clean — it needs to be defensible under peer review. 500,000+ paediatric health records. Zero tolerance for errors. That standard is now the only one I know how to work to.
Recognition — Credentials
Earned, not
assumed.
I'm a Golden Key International Honour Society recipient and a GradStar 2025 Top 100 Graduate — two signals I'm proud of, not because they look good on paper, but because they came from the same discipline I bring to every dataset I touch.
I'm also AWS Cloud Practitioner certified and hold a Certified Data Analyst credential from Udacity — because the tools are changing fast and I intend to keep up.
What's next — Cape Town & beyond
Cape Town is
the base. The world
is the destination.
I love this city. The energy, the ambition, the growing tech scene. But I've always thought bigger than any single geography — and remote work means I don't have to choose. I'm actively looking for my next role — remote globally or Cape Town-based — with a team that genuinely cares about the quality of its data and the impact of its work.
I'm not chasing a title or a number. I want to work somewhere where the analysis actually changes something. Health outcomes. Energy decisions. Business strategy that affects people's lives. If you're solving something that matters, I want to be on that team. Bring the messy data. I'll bring the coffee and the clean schema.
"Cape Town made me the analyst I am. Wherever I go next, I'm taking that standard with me."