Bio

Worked as a Senior Data Analyst for Public Heath England (PHE) supporting the analysis and interpretation of complex public health data sets both at regional and national level . Working in close collaboration with Oxford University Unit of Health-Care Epidemiology I was involved with the analysis of both mortality and hospital episode statistics (HES/NJR). While at NEC Software Solutions I have continued working on many large hospital data sets (National Joint Registry) and assisted in the development and implementation of numerous published health indicators while providing high quality assurance in the statistical application and methodology. Presently working in the Housing Team as a data scientist working on deployment of reporting platforms and development of predictive risk models. I have a keen interest in data visualization and health intelligence especially in the application of best practice and innovation. Software Specialties: - SQL Server 2012 R2 - R Statistics and R Studio / Rattle for R - Tableau 2018 - SSRS/SSIS - Excel 2018 Advanced - Power BI Pro - DAX formulas - ArcGIS Pro/Online - Minitab v.20 - - FME server - Data integration platform - Spatial and Non-Spatial - QGIS Geographic Information System (GIS) Methods: - Predictive risk methodology - Clustering/Regression Methods - Data Forecasting - Patient reported outcomes (PROMS)/Patient experience - Hospital Episode Statistics (HES) / National Joint Registry (NJR) / Medical Devices - Data Visualisation / complex dashboard development - Standardisation and case-mix methodology - Inferential statistics - Public Health - Epidemiology - Project Management - scrum (Agile) - Data mining methods - Thematic maps (static/interactive) - Record linkage - Data analytics - Statistical outlier detection ** Please see slides below for examples of recent work: