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Assessing your cultural and operational fit
Economic-data-tracker
April 15, 2025 – Present
Code for a Bayesian dynamic factor model to model economic growth given a set of economic indicators, handles missingness and train/test split
View Projectnyt-mrp-policy-support
May 27, 2022 – May 31, 2022
Code for models that use survey data from the CES and Nationscape to estimate state-level opinion on 2020 presidential vote share and multiple policies
View Projectusa-p-value-replacement-members
March 16, 2021 – May 13, 2021
Calculating a Senator's value above replacement senator (VARS), based on electoral and voting record
View Projecttoy-us-election-simulator
May 4, 2020 – November 3, 2020
A very simple model for forecasting elections with polls and demographic data
View Projectpoliticaldata
January 27, 2019 – August 10, 2019
🗳📊An R package for acquiring and analyzing political data — including polls, election results, legislator information, and demographic data.
View ProjectR-for-political-data
January 1, 2019 – June 16, 2019
A repo for analysis of political data in the R statistical programming language.
View ProjectrNBA
December 21, 2018 – December 29, 2018
A repo for statistical analysis of NBA team records and box scores, play-by-play
View Projectworld-cup-2018
June 19, 2018 – June 23, 2018
A series of R scripts to forecast the 2018 FIFA World Cup.
View ProjectElection-Results-Analysis-2016
November 18, 2016 – November 27, 2016
County Level Election Results Analysis (2016)
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on political science and sports analytics, primarily using R. While demonstrating deep expertise in these specific domains, the lack of diversity in project types, industries, and technologies (e.g., Python for general data science, machine learning frameworks, big data tools) suggests a potentially narrow scope of experience for a general 'Data Scientist' role, which might impact cultural fit in a broader data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approaches, or communication style.