Ben Casselman
Chief Economics Correspondent at The New York Times
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBen Casselman is a data-driven economics reporter and communicator with 12+ years covering macroeconomic trends, labor markets, energy and policy for outlets including The New York Times, FiveThirtyEight and The Wall Street Journal. He blends rigorous statistical analysis and R-based data pipelines with narrative journalism, contributing to high-profile projects such as FiveThirtyEight’s guns-data work that involved CDC/FBI parsing and reproducible cleaning. A seasoned editor and adjunct lecturer at CUNY’s journalism school, he builds and mentors teams that translate complex datasets into accessible stories and teaches the next generation of business reporters. Frequent on-air commentator and investigative journalist, he brings a practiced ability to make numbers tell policy-relevant stories while maintaining transparency about methodology.
12 years of coding experience
The Learning ProjectThe Roxbury Latin SchoolB.A. Political Science, B.A. Political Science at Columbia University
Github Skills (10)
data-analysis10
data-transformation10
dplyr10
data-cleaning10
r10
tidyr9
readr8
statistics8
statistic8
ggplot8
Programming languages (2)
Github contributions (5)
fivethirtyeight/guns-data
Jul 2016 - Jun 2017
Role in this project:
Data Scientist
Data ScientistContributions:10 commits, 2 pushes in 11 months
Contributions summary:Ben contributed significantly to the data processing and analysis pipeline for firearm death data. Their work involved parsing data from CDC and FBI sources using R, creating dataframes for gun deaths and suicides, and implementing data cleaning and transformation steps. Furthermore, the user was involved in the preparation of data, creating new categorical variables and preparing final datasets for the project's analysis and visualization.
BenCasselman/ACS
Apr 2014 - Mar 2017
Contributions:6 commits, 5 pushes in 2 years 10 months
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