Having worked in Business Intelligence and Analytics for over 15 years, I am well versed in both the technical and business aspects of data. Recently completing a Masters of Information and Data Science (MIDS) from University of California, Berkeley, I am immersed in the latest bleeding edge data science techniques through the entire data pipeline. With a developer background, I am just as comfortable writing code and developing solutions as I am developing an analytics strategy and the associated technology stack to implement this, whilst keeping one eye on the latest developments in industry.
I combine the best of technical and business acumen, being able to bridge the gap between the latest data science techniques and the refined skill of business communication and integration. Of particular passion is the impasse of machine learning into the decision making process. 'Artificial Intelligence for the Enterprise' is the next wave of analytics, and I provide the skill set and insight into making this a reality - from strategy to implementation. I am well versed in insurance knowledge, but the techniques and solutions I have developed are industry agnostic and can be integrated as required.
I have leadership skills that have been refined over the management of a team of 10+ developers, analysts and architects. I am comfortable with both the technical and softer skills associated with people management, and have completed high achieving leadership training, chosen by the Executive Team.