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S M Cusick's Portfolio Website

This is the readme for my portfolio website which can be found here at https://sean-m-cusick.github.io/.

This site serves as a showcase of my journey into data science and creative coding, highlighting my skills, projects, and interests. Hosted on GitHub Pages, this portfolio is designed to reflect my transition into a data-focused career while exploring my passion for creative and interactive coding.

Due to the restrictions with Jekyll, to get control over the build environment and gemset and still use GitHubPages, the branch gh-pages will be used.

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Features

• Custom Theme: A unique and visually appealing design tailored to my personal brand.
• Animated Landing Page: Built using Three.js for an engaging and interactive introduction.
• Project Showcase: Explore my featured projects in data analytics, visualization, and geospatial techniques.
• Blog Integration: A space to document my personal projects, learning experiences, and creative coding experiments.

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Featured Projects

Discover a variety of projects that reflect my experience with data analytics, visualisation, and geospatial techniques, spanning a range of tools including R, Python, and more.

Project 1

Interactive Shiny App in R: Visualising meteorological data through windroses for specific locations and time periods.
- Developed using Shiny for dynamic data visualisation.
- Allows users to explore weather trends with interactive windrose plots.
- Data input from specific meteorological stations and time periods.

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Project 2

Interactive Shiny App in R: Analysing hospital waiting times during the COVID-19 pandemic.
- Aimed to visualise the variation in hospital wait times across different regions.
- Provides real-time and historical data on healthcare service delays during COVID-19.

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Project 3

KPI Dashboard: Developed using Tableau to track and present key performance indicators.
- Designed for performance tracking in business operations.
- Visualises important KPIs such as revenue, customer satisfaction, and performance metrics.

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Project 4

GIS Visualisation: Leveraging R's geospatial packages to create compelling geospatial data visualisations.
- Features thematic maps, heatmaps, and spatial data analysis tools.
- Used in urban planning projects to visualise geographic distribution and resource allocation.

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Project 5

Python Project: An upcoming project to further demonstrate my proficiency in Python.
- Planned to incorporate data analysis, machine learning, and visualisation techniques.
- Focus on automating data workflows and creating advanced analytical tools.

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Blog

In addition to showcasing my projects, this portfolio will also serve as a blog where I document my personal projects, learning experiences, and creative coding experiments. Stay tuned for updates on my journey into data science and creative coding! The blog will feature a new layout and search functionality in the near future.

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Technologies Used

• Frontend: HTML, CSS, JavaScript, Three.js, ruby, jekyll
• Data Tools: R, Python, Shiny, Tableau, GIS
• Hosting: GitHub Pages
• Version Control: Git

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How to Explore

1. Visit https://sean-m-cusick.github.io/
2. Navigate through the Featured Projects section to explore my work.
3. Click on the project links for detailed walkthroughs.
4. Check out the Blog for updates on my latest projects and learning journey.

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Contact

Feel free to reach out to me via LinkedIn or Email for collaborations, questions, or just to connect!

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