Data Science

I am trained in quantitative data science and fluent in numerous coding languages and statistical programs. I also served as a data scientist for the Claude Pepper Institute from 2011-2012. A list of my skills and programs with which I am fluent is presented below.

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A list of my published research is available on the Research page.

skills

• Multivariate regression analysis

• Survey Design

• Experimental Design

• Data Collection

• A/B Testing

• Game Theory

• Econometrics

• Data visualization

• Research design and writing

• Machine learning

software

• R

  • Tidyverse

  • GGplot

  • Markdown

• Python

  • Numpy

  • Pandas

  • SciKit-Learn

  • Matplotlib

• SQL

• SAS

• Tableau

• QGIS

• Alteryx

• Stata

• MS Office Suite

data visualization examples

• Visualizations from "Wait, There's Torture in Zootopia?"

• Movie sample breakdown

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• Success rate of torture in movies, broken down by movie rating

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• Types of torture in movies, broken down by perpetrator

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• Characteristics of torture scenes, broken down by perpetrator

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• Torture scenes per movie

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• Visualization from "Are you going to convict Jack Bauer?" (forthcoming)

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• Pre- and post-test comparisons of support for torture, separated by scene type and movie rating

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• College Football Visualisations (these are just for fun, as I'm a college football fan and the data is easily available for me to practice visualization techniques with.

  • Wins v. Recruiting Class Ranking in the Early Signing Period Era

  • "Recruiting the footprint:" a geographical representation of college football recruiting

    • SEC, 2016-2020 (by year, all years)

    • Big 12, 2016-2020 (by year, all years)

    • ACC, 2016-2020 (by year)

    • Top 50 Recruiting Classes, 2021

  • All-time recruiting bar chart races

    • Who's had the most 5-star recruits, 2000-2021?

    • Who's had the most blue chip recruits, 2000-2021?