I am a freelance chartered statistician specialising in data visualisation and Bayesian modelling. I provide training courses, coaching and consultancy. I've helped analysts from stats and machine learning backgrounds, visualisation/design people, economists, health and social care professionals, academics, civil servants, journalists and more. I'm also interested in helping managers responsible for data science teams (recruiting, managing and quality-assuring) who don't come from that background themselves.
I am also an honorary senior fellow at the George Institute for Global Health and a part-time lecturer on Kingston University's MSc course in Data Science.
I started my company, BayesCamp, in 2017. Prior to that, I worked on:
Most teaching statistics and machine learning is not as effective as it could be. I believe that we could do a lot better by helping learners to look at the concepts of models, philosophy of science, inter-personal and communication skills. In particular, I think that data analysis must serve the audience, by finding out where the data came from (quality and complexity) and where the information is going (decision-making). Analyse should then be tailored to fit the requirements. Statistical rituals come far down the list of priorities.
You can get in touch via the links on the bar above, although I especially like real-life letters and postcards: BayesCamp, 16 City Business Centre, Hyde Street, Winchester, SO23 7TA, UK.
I don't use social media.