Air travel has been steadily increasing in just about every airport in the U.S. However, this increase is not uniform and likely reflects project investments by the FAA and other government agencies. Full repo available here.
This is a web scraper to download PDFs on Amtrak usage at stations across the U.S. from 2012-2018. Raw PDFs were downloaded at the station level and the state level (both csv’s included here). From there, the program will scrape the graph for the last 6 years of ridership from each PDF document. Some stations have discontinued services in the last 6 years, and the program will flag these stations. Final data is posted as data visuals. Final visuals shown at this link.
When the coronavirus pandemic started in early 2020, Food For Free needed help routing drivers to homes of people that needed food pantry supplies but didn't want to or weren't able to leave their house. I developed a machine learning clustering algorithm to group nearby house locations that could be dynamical to the number of drivers that would show up every day. This algorithm was hosted with a Google Sheet backend that used a website interface to allow Food For Free to enter information on addresses that required supplies and the number of drivers that would be coming in that day. Food For Free used this program from April 2020 to 2021. The full github repo is available here. Food For Free wrote a blog post on the topic with more detailed information.
This analysis looks into the property dataset on Cambridge Open Data portal. The maps created and analysis were used for Harvard Graduate School of Design's Land Use Law Zoning Code Exercise where we are meant to analyze an existing zoning code and propose beneficial changes. My paper is about the eligible lots for ADUs and how criteria can be relaxed to encourage development. Full repo is available here.
Micromobility is a trendy catch-all term for small modes of transportation that are coming into streets around the world. As a general definition, micromobility is a category of modes of transport that are provided by very light vehicles such as electric scooters, electric skateboards, shared bicycles and electric pedal assisted bicycles. Full repo is available at this github repo.
This project created a webscraper and simple natural language processing search to identify and analyze the transportation information on the 400 U.S. national park websites. It uses a chromedriver webscraper that looks at over 10,000 total NPS websites. The NLP algorithm uses these web pages to carry out a keyword and key phrase search and scoring criteria. Full repo available at this location.
This was a final project for Harvard Kennedy School's Machine Learning course. The project used NYU's gentrification criteria from 2015 to forecast future gentrification in New York City in 2025. Full analysis, along with final report & analysis are available at this location.
I have experience working with stakeholders in Hawaii on affordable housing and homelessness. Most of this work involved tracking community performance metrics in ending homelessness and coordinating homeless service providers to more efficiently operate and serve needs of the community. Some of these dashboards are posted onto my Tableau Public profile.