My Story
From banking in Nigeria to leading data and AI work across industries in the UK
About Anthonette Adanyin
I started out in banking in Nigeria. I moved to the UK, did a Master's, and got my first UK data role before I'd finished it. I got there by being persistent and learning to position what I already knew in a way that made sense to people hiring. Since then I've worked in data and AI across SaaS, IoT, telecoms, banking, and the public sector. What I care about hasn't really changed since I started. Build things that work, and explain them well enough that the people using them can actually trust the output.
Professional Expertise
My technical work sits across customer analytics, predictive modelling, NLP, and ethical AI. Most of what I build ends up in production. Sentiment models, churn predictions, customer intelligence pipelines, dashboards that real teams use to make real decisions. I work especially well in regulated environments and complex organisations, where the hard part isn't usually the maths. It's getting the data to a state you can trust, the stakeholders aligned on what good looks like, and the system built so it'll still work six months after launch.
Founding DataTriad
DataTriad started because I kept getting the same messages from people trying to get into data. They were smart, capable, and stuck. They didn't need motivation. They needed someone to tell them what to actually do. So I started doing that, one person at a time, and it grew into a structured programme. Today DataTriad is an edtech for data engineering, data analytics, and data science. We train people across all three paths with practical, hands-on learning and the kind of guidance that gets them hired.
Community Leadership
Outside DataTriad, I co-organise PyData Wolverhampton and mentor across Coding Black Females, BCS, Women in Data Science, Elevate, and Reed Women in Technology. I review for DataKind and the Data Science Indaba, and give talks at universities for students trying to get into tech. I've worked with more than 100 mentees so far, and 40 have moved into new data and AI roles. The pattern I see is always the same. The people who get through are not the ones with the most credentials. They're the ones who get specific support at the right moment. That's the work I want to keep doing.
