Andrew Flowers
Chief Economist at Appcast, Inc
Walpole, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Flowers is a chief economist with 12 years of experience at the intersection of labor economics, data science, and public policy, currently leading economic research at Appcast. He has a track record spanning the Atlanta Fed, FiveThirtyEight (contributing data analyses for their widely used public repository), Indeed, and Appcast where he rose from labor economist to chief economist. Andrew blends rigorous macro and labor-market modeling with practical data journalism skills—writing, visualizing, and coding analyses in R, Python, and D3—to translate complex findings for executives, policymakers, and the public. He also ran a competitive campaign for State Representative in Massachusetts, demonstrating a commitment to local policy and civic leadership. Known for making technical work accessible, he combines forecasting and product-focused labor-market insights with hands-on open-data contributions. Based in Walpole, MA, he holds a BA in Economics from the University of Chicago and an MS in Applied Economics.
12 years of coding experience
Master of Science - MS, Applied Economics, Master of Science - MS, Applied Economics at Boston College - Woods College of Advancing StudiesB.A., Economics, B.A., Economics at University of Chicago
Stackoverflow
1reputation
0reached
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0questions
Github Skills (9)
data-visualizations10
data-visualization10
data-visualisation10
statistical-models10
data-cleaning10
r10
data-analysis10
ggplot9
dplyr9
Programming languages (1)
Github contributions (5)
fivethirtyeight/data
Apr 2014 - Jun 2016
Data and code behind the articles and graphics at FiveThirtyEight
Role in this project:
Data Scientist
Data ScientistContributions:114 commits, 5 PRs, 54 pushes in 2 years 3 months
Contributions summary:Andrew contributed to several data analysis projects within the `fivethirtyeight/data` repository. They wrote and executed R scripts to analyze data, including studies on the Bechdel test, infrastructure jobs, classic rock radio, most common names, Pew religion data, unisex names, the Buster Posey MVP, Paris Attacks and nutrition studies. These scripts involved data cleaning, statistical analysis, and model building.
datacode-behindfivethirtyeightgraphics
andrewflowers/mlb_pbp_data
Aug 2015 - Mar 2016
Contributions:15 commits in 7 months
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