A Masters level graduate in Artificial Intelligence, with experience in general insurance
I joined Pebbles after finishing my MSc in Artificial Intelligence (Distinction) where I deployed a combination of natural language processing, and machine learning techniques to optimise the medical approval criteria for cohort selection in drug trials.
Since joining Pebbles I have been the lead R&D data scientist, developing neural networks to predict insurance risk, while designing the cloud architecture for our future product, a ‘near real time’ market tracker.
I’ve been involved in designing and implementing the pricing structure and built a market model, for a motor MGA start-up.
I provide my clients with advanced data science support covering data engineering, machine learning operation, and building innovative models using a gamut of machine learning algorithms.