Portfolio

Welcome to my portfolio! Each of these projects is open source and freely available on my GitHub. They have been showcased at conferences like NYC Open Data Week, integrated into academic curricula at institutions like New York University, and even referenced in peer-reviewed academic papers from universities such as Texas A&M.

If you’ve found any of these projects valuable, I’d love to hear from you! Feel free to reach out and say hello.

Python Data Analysis Tutorials

I have a passion for learning and teaching Python for data science in an open source and reproducible way. Below are two projects that demonstrate how to work with Python and utilize datasets on NYC Open Data. Note: “Data Analysis Using Python” has +240 GitHub stars and has been popular in the NYC data science community.

National Flood Insurance Program (NFIP) Data and Tutorials

Flood insurance stands as a cornerstone of community resilience against flooding. However, the absence of information and high-quality data shouldn’t impede progress. Presented below are guides showcasing the utilization and analysis of FEMA’s National Flood Insurance Program (NFIP) data.

Analyzing Flood Risk in New York City

I spent one summer in 2014 studying abroad in Amsterdam learning about the Dutch approach to flood risk management. Since that transformative experience, I’ve relentlessly attempted to analyze and communicate New York City’s flood risk through the lens of data science.

Flood Data for New York City

I’ve scoured the internet to collect the best datasets and reports concerning New York City’s flood risk. Here, I present my findings.

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