Being interested in urban planning and having an IT background, I have a strong interest in GIS. I have experience using ArcGIS Pro, ArcGIS Online, ArcMap, and QGIS. I also have experience working with Python and ArcPy. Here are some of my projects from my independent work/study:
Deforestation in Brazil
This is a project from an ArcGIS class I undertook. In the class we calculated the estimated amount of new deforested land if the road shown below were to be built.
Flooding in Venice
This is a project from a class where I calculated the perennial flood areas of Venice, Italy. This 3D map screenshot shows areas in blue that are the most at risk or are prone to flooding. Venice’s elevation is only 1 m , so even waters as low as 1.4 m can cause severe flooding.
Working Holiday Visa Planner
Below is a web app that I made that helps people plan their specified work for a Working Holiday in Australia. This application shows population density and eligible postcodes for specified work and contains an interactive filter to see what regions are eligible for each type of work:
Bali Satisfaction Dashboard
This is an interactive dashboard that I made that shows the results from a Survey123 survey. The survey asked various questions about the opinions of visitors to Bali, Indonesia.
Melbourne Public Transit Coverage
This web app I made shows the extent of Melbourne’s public transportation coverage within the metropolitan area of Melbourne, Australia. The application can be configured to show 5 and 10 minute walk times to trams, trains, and buses.
Oso Mudslide Flyover
This video animation is a flyover I made that shows the environmental changes after a mudslide in Oso, Washington, USA. The columns show the locations of homes that existed before the mudslide.
To see my full ArcGIS Online portfolio, please click here.
COVID-19 Web App
I made a web app that shows a live, up to date choropleth map for COVID-19 worldwide. The data is collected via a web scraper written in Python and then is pushed to a GeoJSON file where it is then displayed as a map. Click the image below to view the app. You can find the code on my Github.