Data Scientist building forecasting systems and ML pipelines. A decade in financial data — now applying that rigour to predictive modelling and AI.
I've spent over 10 years working with data in financial environments — building dashboards, validating systems, and turning messy records into something organisations can actually act on.
That background gave me something most pure data science graduates don't have: an intuition for what business decisions actually hinge on, and what "good enough" really means in practice.
I'm now completing a Level 7 Career Accelerator in Data Science, Machine Learning & AI at the University of Cambridge — working through forecasting, deep learning, and model evaluation, and building the technical toolkit to match the business experience.
My current focus is time series forecasting — understanding demand patterns, building and comparing model architectures, and connecting analytical outputs to decisions that matter.