A collection of data analytics, business intelligence, and automation projects I've worked on. Each project represents a real problem I helped solve using data.
Independent projects from my GitHub portfolio, built to sharpen my analytical skills.
End-to-end analysis of the Online Retail II dataset using Python. This project covers data cleaning, exploratory data analysis, RFM (Recency, Frequency, Monetary) customer segmentation, cohort analysis, and time-series sales forecasting to uncover actionable business insights.
Interactive Power BI dashboard analysing Melbourne retail data to uncover sales trends, profit margins, and regional performance across product categories and time periods. Built with DAX calculations and data modelling best practices.
Comprehensive Excel analysis exploring correlations between health metrics, lifestyle habits, and wellness outcomes. Uses pivot tables, conditional formatting, and charts to present findings in a clear, visual format.
Projects completed during my professional roles, solving real business challenges with data.
Built an interactive Power BI dashboard consolidating financial data across active construction projects, providing real-time visibility into project profitability and costing.
Developed an automated Python pipeline to clean, analyse, and visualise sales data across multiple business divisions, replacing a manual process.
Analysed large-scale consumer survey data for Energy Consumers Australia, creating interactive dashboards for non-technical stakeholders.
Designed weekly forecasting dashboards for workload management across business divisions, improving visibility into upcoming work.