This page highlights a selection of smaller or more targeted projects completed alongside the primary case studies. Each demonstrates a specific analytical, technical, or problem-solving skill within a defined scope.
An exploratory analysis of London Airbnb listings focused on pricing, availability, and neighbourhood-level patterns.
Cleaned and analysed listing-level data
Compared price distributions across boroughs
Examined availability and minimum-night behaviour
Highlighted how aggregation choices affect geographic insights
Skills demonstrated: EDA, aggregation logic, data interpretation, analytical caution
Interactive dashboards analysing streaming behaviour, popularity metrics, and audio characteristics across tracks and genres.
Built multiple Tableau dashboards covering popularity, audio features, and genre behaviour
Identified patterns in track longevity and listener engagement
Designed visuals for exploratory and presentation use
Skills demonstrated: Data visualisation, dashboard design, exploratory insight generation
A time-series analysis examining average fuel stock levels over multiple years.
Calculated rolling and average stock percentages
Built animated visualisations to show change over time
Identified periods of volatility and stability
Skills demonstrated: Time-series analysis, trend interpretation, animated visualisation
A focused demonstration of Power Query used to clean and reshape raw datasets for reporting.
Applied transformations including merges, filters, and calculated columns
Prepared datasets for downstream BI consumption
Emphasised repeatability over one-off cleaning
Skills demonstrated: Data preparation, Power Query, transformation logic
A documentation-first analysis focused on extracting and communicating insight from a small retail business dataset without relying on dashboards or code.
Interpreted a multi-table CSV dataset covering customers, loyalty, orders, products, and suppliers
Produced a structured written report (~500 words) based on evidence from the data
Prioritised stakeholder-style communication: clear findings, grounded reasoning, no unsupported claims
Skills demonstrated: data interpretation, multi-table reasoning, written stakeholder reporting, evidence-based insight
A structured written proposal responding to a fictional business brief, focused on data management and cloud solution design rather than implementation.
Translated business requirements into a practical data/cloud proposal
Covered key considerations including storage and access, security & compliance, governance, risks and mitigations
Delivered as a single, professional Word document to reflect real workplace documentation standards
Skills demonstrated: solution design thinking, governance & risk awareness, security/compliance reasoning, professional technical writing