Below are a selection of projects I've completed, highlighting key areas of my professional interest. My work demonstrates experience in data analysis, visualization, web development, and accessible information design using tools such as Python, SQL, Tableau, and PHP.
Irish EV & Sustainable Energy Infrastructure Analysis
Accessible Data Visualization Design Guide with Tableau Examples
Dublin Area Effects of Public Transport Proximity on Rental Prices
Global Inequities & Effects on Health Outcomes Visualization Dashboards
Local Business Catalogue and Review Web Application (SQL & PHP)
This project examines patterns in electric vehicle adoption, public charging infrastructure accessibility, and renewable energy production across Ireland through county-level analysis and comparison. Using national datasets, the analysis explores regional differences in EV adoption and charger availability, and investigates how infrastructure distribution relates to population patterns and renewable energy generation. The report demonstrates how integrated analysis of multiple public datasets can support understanding of the relationship between emerging energy infrastructure and sustainable transportation goals.
• Central Statistics Office (CSO)
• Sustainable Energy Authority of Ireland (SEAI)
• ESB Networks public EV charging data
• Exploratory data analysis
• Comparative regional analysis
• Geospatial analysis including nearest-neighbor distance calculations
• Statistical analysis including correlation and linear regression
Python (Pandas, NumPy), Tableau, Excel, GIS-based spatial analysis techniques
• Full analytical research report
• Geospatial accessibility analysis of charging infrastructure
This project presents a practical guide to designing inclusive and accessible information visualizations. The guide combines research on visual accessibility with practical design recommendations for improving the usability of charts and dashboards for audiences with visual impairments, including color vision deficiencies and low vision. Drawing on academic literature, accessibility standards, and personal experience as a visually impaired and colorblind data practitioner, the guide highlights how thoughtful design choices can make data communication more inclusive and impactful. The project also includes demonstration tutorials and example visualizations created in Tableau that illustrate accessible design principles in practice. The guide also discusses how accessibility considerations are often overlooked in dashboards and business intelligence tools despite growing awareness in the data visualization community and provides suggestions for future growth within this field.
• WCAG standards
• Color accessibility and design choices for color-vision deficiencies
• Inclusive design vs accessibility in visualization
• Direct labeling and annotation techniques
• Alt-text and screen reader compatibility for charts
• Scalable visualizations and magnification considerations
• Literature review of accessibility research in data visualization
• Analysis of accessibility standards and best practices
• Development of practical design guidelines
• Creation of demonstration visualizations and tutorials
Tableau, screen-recording, web-based documentation
• Accessible data visualization design guide website
• Demonstration Tableau visualizations
• Video tutorials showing accessible visualization techniques
This project examines patterns in electric vehicle adoption, public charging infrastructure accessibility, and renewable energy production across Ireland. Using national datasets, the analysis explores regional differences in EV adoption and charger availability, and investigates how infrastructure distribution relates to population patterns and renewable energy generation. The project demonstrates how integrated analysis of multiple public datasets can support understanding of emerging energy infrastructure and transportation transitions.
• Central Statistics Office (CSO)
• Sustainable Energy Authority of Ireland (SEAI)
• ESB Networks public EV charging data
• Exploratory data analysis
• Comparative regional analysis
• Geospatial analysis including nearest-neighbor distance calculations for charging infrastructure
• Statistical analysis including correlation and linear regression
Python (Pandas, NumPy), Tableau, Excel, GIS-based spatial analysis techniques
• Full analytical research report
• Geospatial accessibility analysis of charging infrastructure
This project explores relationships between global economic inequality and population health outcomes through a series of interactive data visualization dashboards. Using international development datasets, the project investigates how indicators such as national income levels, wealth inequality, and economic development relate to measures of public health including life expectancy and mortality rates. The goal of the project was to communicate complex global patterns in health disparities through clear and accessible visualizations that allow users to explore relationships between economic and health indicators across countries.
• World Bank open data
• Global development and public health datasets
• International economic and demographic indicators
• Exploratory data analysis of international datasets
• Comparative cross-country analysis
• Data visualization design for communicating complex relationships
• Dashboard development for interactive exploration of global patterns
Tableau, data preparation in spreadsheet tools, global development datasets
• Interactive dashboards exploring relationships between wealth inequality & health outcomes
• Comparative visualizations of life expectancy, mortality rates, & economic indicators
• Global data visualizations designed for clear and accessible interpretation
This project involved designing and building a database-driven web application that allows users to browse and contribute reviews for local businesses. The application uses a relational SQL database to store information about businesses, user reviews, and related attributes. A web interface built with PHP allows users to search the catalogue, view business information, and submit new review entries. The goal of the project was to demonstrate practical database design and the integration of structured data with a dynamic web interface.
The underlying relational database was designed to organize business listings and associated reviews while maintaining data integrity and efficient query performance. Tables were structured to represent businesses, review entries, and related attributes, with primary and foreign key relationships used to link records across the system.
• Relational database schema design
• SQL queries for retrieving and updating records
• Development of a web interface for data entry and display
• Integration of backend database queries with frontend user interaction
MySQL, PHP, SQL, HTML, CSS
• Relational SQL database for storing business listings and reviews
• Web-based interface for browsing and submitting review data
• Database queries supporting search and information retrieval
