projects

FiNet

  • Stock Analysis Web App, bringing cloud scale stock analysis to anyone
  • Scalable, microservice architecture designed for the cloud
  • Hosted with AWS, utilizing EC2 and Docker Compose for orchestration
  • React frontend with Nginx proxy
  • Live Demo Launching June 8th

15 Minute City Toolkit

  • Python toolkit built with OSMnx and Tobler
  • 88 Individual tags automatically used to calculate the walkability of a city
  • Takes in a list of any number of cities and gives a variety of insights into it's walkability metrics, specifically establishes a score for how accessibly it is for pedestrians within 15 minutes
  • Developed to solve my own problem of not enough data on walkability being available and uniform, I reconfigured the tool originally made by Transform Transport
  • I'll be publishing a paper on walkability and this will be a vital source of data

By the way, check out my Blog. There is updates on active projects and a more insights on previous ones

About

I'm Ethan Long, a developer and Computer Science student graduating from Florida State University this Spring. Because I earned my Associate's Degree during high school, my timeline into tech has been accelerated. Since writing my first lines of code in 2024, I've rapidly progressed from core fundamentals in C++ and Java to architecting complex cloud environments and micro-applications.

Working extensively with cloud infrastructure naturally drew me toward the data that supports cloud-scale applications. For now, my focus is entirely on Data Science, specifically its application within Urban Development. I am incredibly passionate about how data can reshape city landscapes. To that end, I am currently preparing for graduate school in Urban Data Science, conducting independent research, and actively rebuilding a promising data application known as the '15min City Score Toolkit'.