Cheyanne Cabang


Washington, DC

github link linkedin link






B.S. Data Science & Computer Science, American University

August 2019 - June 2022

Relevant coursework: Intro to Computer Science I (Python), Intro to Computer Science II (Java), Computer Systems Organization, Discrete Structures, Algorithms and Data Structures


Data Analyst, Adoptee Hub

April 2021-Present | Remote

  • Acquire data related to adoptions on international, national, and state levels to maintain database
  • Conduct survey research using Microsoft Sharepoint

Research Assistant, Department of Sociology, American University

March 2021 - Present | Washington, DC

  • Maintain, update, and visualize large immigration policy dataset with over 300 policies in R and Python

Student Assistant, American University Media and Technology Services

August 2019 - Present | Washington, DC

  • Developed responsive UI for dashboard widget that displays live availability of library technology using library’s API database (JavaScript, jQuery, HTML5, CSS)
  • Implemented random movie generator using JavaScript, HTML, and CSS along with 3rd party API for patrons on library website

Technology Intern, Jordan & Cara Odo Foundation

June 2020 - July 2020 | Remote

  • Designed and deployed website that emphasized accessibility and usability and won 1st place for prototype and implementation plan
  • Worked in team to implement global search functionality for local nonprofit’s mobile app’s RESTful API in Golang
  • Virtualized server in Docker for build environment
  • Utilized version control management software (Git)
  • Simulated Big Data network flow in Golang


chvyn.com | July 2021

  • Designed and developed multi-page, mobile-friendly website using JavaScript, HTML, and CSS
  • Attack on Titan Card Match Game | July 2021

  • Used Python's Pygame module to create GUI for interactive card matching game
  • COVID-19 in Prisons | March - April 2021

  • Utilized Java to parse Marshall Project’s COVID-19 in Prisons CSV dataset
  • Used object-oriented design to build JavaFX GUI that presented percentages and rates related to COVID-19 cases, deaths, and vaccinations among prisoners and staff members on national and state levels
  • U.S. Presidential Elections Data Visualizer | December 2020

  • Analyzed, interpreted, and visualized M.I.T.'s dataset on U.S. Presidential Elections using Python
  • Download Resume