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 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.

• DuckDB in Python: A Beginner’s Guide
• Ibis Basics: An Introduction to the Portable Python Dataframe Library
• Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data
• Socrata Open Data API (SODA) Tutorial Using NYC Open Data

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 FEMA’s National Flood Insurance Program (NFIP) Data With DuckDB
• Exploring National Flood Insurance Program Data for New York City
• New York City’s Preliminary Flood Insurance Rate Map (PFIRM) Data Analysis

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.

• Analyzing NYC’s Stormwater Flood Map - Extreme Flood Scenario
• Analyzing NYC’s 311 Street Flooding Complaints from 2010 to 2020
• Exploring MyCoast New York Reports for NYC
• Exploring NYC’s Building Elevation and Subgrade (BES) Dataset in Python
• Exploring NYC’s Citywide Parcel-Level Impervious Area GIS Layer in Python
• Exploring Projected Sea Level Rise Data by the New York City Panel on Climate Change (NPCC) in Python

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.

• Flood Datasets for NYC: A Comprehensive Open Data Inventory
• A Collection of Flood Hazard Layers for New York City
• New York City Flooding Reports and Publications

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