Data Science MSc · Industrial Engineering background · Analytics & ML
A selection of projects from my MSc Data Science, Industrial Engineering background, and personal learning. Each project focuses on real datasets, clear analysis, and communicating results in a practical way.
End-to-end analysis of the 2019 British Social Attitudes Survey using R. Includes data cleaning, factor handling, exploratory visualisation, and modelling around attitudes to poverty, welfare, and politics.
View on GitHub →Collection of R work completed at the University of Sheffield. Covers data wrangling, exploratory analysis, modelling exercises, and visualisation tasks from Data Science modules.
View on GitHub →SPSS projects from my MSc Data Science, including regression models, group comparisons, diagnostics, and write-ups. Focused on interpreting output for real-world social and health research questions.
View on GitHub →A set of SQL exercises focusing on querying, joins, aggregation, window functions, and basic analytics patterns for working with relational data.
View on GitHub →Interactive dashboards for tracking KPIs and trends, built using Excel and Power BI. Designed for clear storytelling, drill-down exploration, and stakeholder-friendly visual design.
View on GitHub →Many of these projects are available as reproducible code and notebooks. I’m always happy to talk about the data, methods, and decisions behind the results.
You can explore more work on my GitHub or reach out via email or LinkedIn.