I am an RSS accredited statistician with over 15 years’ experience working in data mining and analytics and many more in coding and software development. My specialities include machine learning, time series forecasting, Bayesian modelling, market simulation and data visualisation. As Data Scientist at Channel 4 my role is to develop machine learning solutions that allow the channel to build a deeper relationship with the viewer and innovate the way advertising is traded and work on supporting the creative side of the business. My current interests are in scalable machine learning (Mahout, Hadoop), interactive visualisatons (D3 and similar) and applying the methods of agile software development to analytics. I have worked for Mindshare, News International, Credit Suisse and AOL. I am co-author with Mark Bulling of Drunks and Lampposts - a blog on computational statistics, machine learning, data visualisation, R, python and cloud computing. It has had over 270 K visits and was mentioned in Flowing Data, I09, and the online editions of The New York Times and The New Yorker.
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