I clean and analyse complex datasets, build practical dashboards, and translate the results into clear reports for health organisations, researchers and small businesses.
Many organisations have valuable data trapped in inconsistent spreadsheets, manual reports or disconnected files. I help turn that material into clean datasets, useful visualisations and findings that people can act on.
My First Class degree in Medical Physiology provides a rigorous health-science foundation, while my MSc in Data Science adds practical experience in Python, R, SQL, visualisation and statistical modelling.
I work carefully and transparently: assumptions are documented, limitations are stated, and every conclusion remains traceable to the underlying evidence. I do not promise certainty where the data cannot support it.
Defined, fixed-scope services for organisations that need reliable data work without hiring a full-time analyst.
I clean Excel and CSV files, standardise variables, identify missing or inconsistent values, remove duplicates and document the finished dataset.
I build clear Excel or Power BI dashboards around the indicators your organisation needs to monitor, with a practical handover and documented definitions.
I explore the data, apply appropriate statistical methods, create decision-ready charts and explain the findings and limitations in plain English.
We clarify the business question, data sources, intended users, risks and the decision the work must support.
I profile the data, document quality problems and prepare a reproducible analysis-ready version.
I apply suitable methods and build clear charts or dashboards around the agreed questions.
You receive the agreed files, a plain-English findings summary, limitations and a practical handover.
Describe the dataset, the problem you need to solve and your intended deadline. I will reply with the questions needed to define a realistic scope.