Tom Wagstaff is a data scientist, skilled in the development and use of digital tools to manage and help interpret large data sets. He has experience in dealing with dirty and semi-structured data, as well as fetching, cleaning and updating data whilst interfacing with various automatous processes. In the international development sector he has experience analysing economic data especially investigating the link between economic growth and poverty reduction and the impact of international agreements on trade. In the private sector he has undertaken evaluations using experimental & quasi-experimental methods, developing and applying dashboards to support evidence-based decision making. In the UK charity sector he has combined data science techniques with economics and epidemiology to estimate the degree of homelessness and housing affordability problems and the prevalence and impacts of childhood behavioural disorders.