Ed is an experienced data scientist who develops cutting edge technical solutions to ambiguous, data intensive problems. He specializes in developing creative, actionable, analytical insights in results-driven environments. This has included extensive work in fintech, retail and search. Ed uses statistical and machine learning methods appropriate to the scale and form of the problem to produce reasoned solutions. An important part of the work is communicating challenging technical concepts to a broad audience from engineers and software architects to clients and the broader public.