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bryantco/README.md

About Me

  • ๐Ÿ‘‹๐Ÿผ Hi, Iโ€™m Bryant C
  • ๐ŸŒฑ I am a data scientist passionate about applying quantitative tools to inform and drive decisionmaking in the public and private sector
  • ๐Ÿ”ญ I'm currently employed as an Associate at Charles River Associates.

Portfolio

I have worked on a variety of projects that showcase my expertise in A/B testing (causal inference), machine learning, and data visualization. My portfolio spans the following domains:

  • ๐Ÿ’ฐ Economic inequality
    • Understanding homelessness rates among drug arrestees in Chicago
  • ๐Ÿš† Transit
    • Describing Chicago rail ridership trends before and after the height of COVID-19
    • Analyzing inequality in bike ride share use in Chicago
  • ๐Ÿ“š Education
    • Predicting out-of-school suspension days using a random forest model and employing causal differences-in-differences models to evaluate a behavioral intervention (Python, R)

Pinned Loading

  1. datareportR datareportR Public

    Fast data reporting at a glance.

    R

  2. chi-weather-historical-dash chi-weather-historical-dash Public

    Dashboard that plots weather metrics for Chicago

    Python

  3. cta-analysis cta-analysis Public

    Descriptive analysis of CTA ridership trends before and after the height of COVID-19

    Jupyter Notebook

  4. digs30032-music-generation digs30032-music-generation Public

    Final project for DIGS 30032: Digital Texts II at the University of Chicago

    Python

  5. divvy-q3-2018-viz divvy-q3-2018-viz Public

    AWS data visualization: mapping the distribution of bike ride share rides in Chicago

    Jupyter Notebook

  6. rp-portfolio rp-portfolio Public

    Python and R project to predict and analyze student out-of-school suspension days

    R