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Tiasia Saunders's Portfolio

Professional Summary:

Howard University honors graduate and current fellow and graduate student at the Howard Center for Investigative Journalism at the University of Maryland. Additionally, a Data Journalist for the Capital News Service at UMD. Experienced in investigative and data-driven reporting with a focus on racial and socioeconomic disparities. Skilled in R, data visualization, and digital storytelling. Passionate about uncovering and telling powerful stories using data analysis, coding, and visualization tools.

Technical Skills:

Programming & Analysis: R, SQL, Excel

Data Visualization: Datawrapper, Flourish

Web Development: HTML, CSS, JavaScript

Education

  • M.J., Master's of Professional Journalism (specializing in Data Journalism) | University of Maryland | (May 2026)
  • B.A., Bachelor's of Arts in Media, Journalism and Film | Howard University | (May 2024)

Work Experience

Data and Graphics Journalist @ Capital News Service (January 2026 - Present)

  • Develop and publish data-driven investigative stories
  • Analyzed and cleaned large public datasets using R, SQL, and Excel to uncover trends in racial, socioeconomic, and policy-related issues across Maryland
  • Produced data-driven stories for publication by combining statistical analysis, investigative reporting, and public records
  • Created interactive and static data visualizations using Datawrapper, Flourish, and ggplot2 to clearly communicate complex findings to a general audience
  • Conducted original reporting by filing public records requests (FOIA) and synthesizing data with expert interviews

Data Journalist Fellow @ Howard Center for Investigative Journalism (August 2024- Present)

  • Develop and publish data-driven investigative stories
  • Learn web development, interactive design, and coding in languages such as JavaScript and Python
  • Use R and Python for data analysis
  • Use HTML/ CSS for webpage development
  • Contribute to innovative and impactful journalism

Data Journalist Intern @ Howard Center for Investigative Journalism (June 2025 - August 2025)

  • Analyze PHMSA public docket comments using sentiment analysis, topic modeling, and other data analysis techniques
  • Conduct fact-checking, source outreach, and background research for investigative reporting on hazardous rail infrastructure
  • Create visualizations and data graphics to highlight patterns and safety concerns in rail projects
  • Use R and Python for data analysis and exploratory research on emerging investigative topics
  • Assist in early-stage story development by identifying trends and researching potential investigative leads
  • Collaborate with reporters, editors, and data journalists to integrate computational methods into newsroom workflows

Data Visualizations

How AI Misconduct Cases Can Take Different Paths

Partisan Divide on U.S-Iran Conflict Is Consistent Across Polls

  • Appeared in Capital News Service
  • Highlights multiple national polling surveys partisian divide results about the U.S-Iran conflict.
  • Tools: Excel, Datawrapper

Outcomes of Immigration-Related Bills in the Maryland Legislature (2013–2026)

  • Appeared in Capital News Service
  • A grouped bar chart that shows the outcome of Maryland immigration-related bills and the associated statuses for the count of bills for years 2013 - 2026.
  • Tools: Excel, Datawrapper

Trump DEI Coverage: Domestic vs. International Narratives

  • Created for an in-progress academic paper on comparative media framing of DEI-related Trump coverage (targeting peer-reviewed publication).
  • Highlights global narrative divergence and thematic emphasis between domestic and foreign reporting.
  • Type: Comparative topic modeling visualization
  • Tools: R (ggplot2), dplyr, tidytext

What defines a high-hazard flammable train

What defines a high-hazard flammable train

  • Appeared in Capital News Service
  • An infographic visualizing regulatory and safety definitions of high-hazard flammable trains.
  • Translates complex regulatory language into a clear visual format, highlighting inconsistencies in how high-hazard flammable trains are defined—especially in the context of recent rail accidents.
  • Tools: Adobe Illustrator

High-hazard flammable train routes more active in Texas, Washington, and Midwest

  • Appeared in Capital News Service
  • A geographic visualization showing active HHFT (High-Hazard Flammable Train) routes
  • Provides a clear visual of potential high-risk areas; supports investigative reporting on rail safety.
  • Tools: Adobe Illustrator

2020 Maryland County Election Results and January 6 Participant Counts

  • Appeared in Capital News Service, the Southern Maryland Chronicle, Maryland Matters, and the Balitmore Sun
  • An interactive map comparing 2020 presidential vote shares in Maryland counties with the number of residents charged in the January 6 Capitol attack.
  • Reveals geographic and political correlations in Maryland between voting behavior and post-election extremism.
  • Compiled and merged election results with federal charging data to build a county-level dataset for analysis
  • Tools: Flourish, R

Frederick County: A Battleground of Shifting Politics

Frederick County: A Battleground of Shifting Politics

Unpublished Work

National Reformatory Death Count + State of Cemetery Graphic

  • A U.S. map visualizing recorded deaths at historical juvenile institutions, including reform schools, industrial schools, and correctional facilities operating primarily during the 1800s and early 1900s.
  • Part of work for a Cheltenham National story that will be coming out at the end of the month

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