I’m a highly motivated, organised and creative data scientist with a strong academic background and 7 years’ experience finding solutions to complex business problems across the finance, energy, housing, recruitment and conservation sectors.With a PhD in complex network analysis and a Masters in datascience, I apply critical thinking and academic rigour to help stakeholders define the right questions, before gathering, manipulating, exploring, interpreting and modelling data to discover insights, make predictions and help organisations make better decisions in the face of uncertainty.Working with large structured and unstructured datasets, I have proven expertise in data analysis, methodology design, model development and enhancement, documentation writing, results delivery and interpretation. Bringing strong communication skills and experience in cross-functional environments, I’m highly adept at translating technical content for non-technical stakeholders and business audiences, using data visualisation tools to effectively inform decision makers.Personally, I thrive on bringing order and structure, and removing painful processes and bottlenecks to reduce the burden of inefficiencies and free individuals and organisations to focus on the strategic job at hand. I love nothing more than solving problems with robust, repeatable, time-saving solutions that improve quality and make everything easier.To date, I’m particularly proud of:Implementing an open-source library for measuring ship performance. The library replicates the ITTC global standard and providing clear documentation and transparency.Leading the team that won the US Department of State's 2017 Zoo hackathon, where we developed an image recognition anti-poaching tool using deep learning.Creating a cost model of hydro power plants based on thier physical characteristics, which outperformed the nationally used benchmark model.Developing the SETSe (Strain Elevation Tension Spring embeddings) algorithm, which can be used for a range of graph and network applications such as clustering, graph differentiation and classification, dynamics in social groups, and robustness of networks under attack.My github is at https://github.com/JonnoBI am skilled in:Data analysisData cleaningData visualisationData centric modellingAlgorithmic designAlgorithmic optimisationClusteringGraphical modelsNetwork scienceMachine learningDeep learningUn/Supervised learningDocumentationStructured dataUnstructured dataRPythonNLPDockerSQLCloud platforms: AWS & HPC