Tamara Starr

UX Research and Strategy Lead

Preston's Summary

Tamara Starr is a freelance writer based in Albany, New York. She specializes in local news coverage, with a focus on politics, community events, and infrastructure issues. Tamara's work has been featured in various media outlets, including WGN-TV, WTEN-TV, The Fresno Bee, Fox 44 TV, and Nexstar Broadcasting, Inc.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

Schenectady, United States (Local)

Coverage Attributes:

Beta
Government Announcement: 34 %
Event Coverage: 26 %
Seasonal: 11 %
Press Release: 7 %
Legal Policy Regulation: 5 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Psychedelic Research
  • Cannabis Business
  • Cannabis Regulation
  • Elections
  • Government
  • Politics
  • Public Policy

Pitching Insights

Tamara Starr's coverage primarily focuses on local events, government announcements, and community initiatives in the Albany area. She also covers topics related to budgets and finance, winter activities, legislative issues, along with themes such as government & politics, culture & society, family & relationships.

Given her focus on local events and community initiatives within Albany and surrounding areas of New York state, she may be interested in stories that highlight positive community impact or provide insights into local governance. Additionally, pitches involving unique cultural or family-oriented events in the region could be well received.

For those looking to reach out to Tamara Starr for potential coverage opportunities or expert commentary requests around local government policies or societal trends within the specified geographic area would likely align best with her coverage interests.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data