BSc Human Physiology & Pharmacology • Healthcare Data • Data Analysis • Scientific Research • Digital Tools
Scientific training applied to data analysis, visualisation and evidence-based interpretation.
My background in Human Physiology and Pharmacology gives me a foundation for understanding healthcare and scientific information. I have built on that foundation by developing practical data analysis skills, including Excel, Azure SQL and Power BI, alongside formal knowledge of modern data platforms through Microsoft Azure Data Fundamentals (DP-900). I also use AI and digital tools to support research, information analysis and productivity.
What I bring
My scientific training taught me how to approach complex information carefully, evaluate evidence, and understand biological and healthcare concepts. I have built on that foundation by developing practical data analysis skills and working with tools such as Excel, Azure SQL and Power BI. I also use modern digital and AI tools to research, organise information, improve workflows and communicate insights effectively.
Human physiology and pharmacology, research methodology, literature review and evidence evaluation.
Data cleaning and organisation, structured and relational data, Excel and Azure SQL.
Data interpretation, visualisation and reporting, including Power BI dashboards.
Microsoft Azure data platform knowledge (DP-900), AI-assisted research and digital workflow tools.
Featured project
Dose-response and adverse event analysis on a simulated trial dataset
A statistical analysis of a simulated 1,200-patient clinical trial across three dosage groups, examining efficacy scores and adverse event rates, and presenting the dose-response and safety trade-off as a readable dashboard.
View projectFreelance
Alongside my healthcare and research work, I also take on lightweight freelance projects that help small businesses make better use of the data they already collect — from sales analysis and dashboards to AI-assisted reporting and workflow support.
Data Analytics · Business Intelligence · AI-Assisted Insights
A worked example of how three months of synthetic restaurant POS data can be cleaned, analysed and turned into an owner-friendly dashboard with practical recommendations.
View freelance case study