I graduated with Honours in Peace and Conflict Resolution. It taught me to slow down, listen carefully, and look for the patterns underneath what people say and do.
Before data analytics, I spent time in the Web3 and cryptocurrency space. I wasn't trading for its own sake — I was studying market trends, watching how patterns formed and broke, trying to make sense of noise.
On January 9, 2026, a conversation with my brother-in-law reframed everything. He pointed out that what I'd been doing in the markets — market analysis — and what data analysts do are the same craft underneath: problem-solving, pattern recognition, and making sense of information.
That was the day my journey into data analytics began. I started with SQL and quickly fell in love with it. It feels less like a tool and more like a language for asking precise questions.
Since then I've been learning SQL (now approaching advanced), Excel (basic to intermediate), and Power BI (approaching advanced). I'm working through a Coursera data analytics course in parallel — less for the certificate, more to learn how analysts actually think.
In April 2026, I secured a data analytics internship. It has been one of the most important parts of my growth — the first place I got to apply, in real conditions, what I'd been learning alone at my desk until 4 a.m.
I'm still early. I'm honest about that. But every day I sit down, open SQL, and ask another question, I become a little more of the person I'm building toward.
“I believe learning how to think like an analyst is more important than simply learning tools.”