Sheetal Banchariya

Senior Sub-Editor

Preston's Summary

Sheetal Banchariya is a Senior Sub-Editor for various news outlets, including the New York Daily News, Yahoo News, and Women's eNews. She specializes in covering local news stories in New York City, with a focus on crime, social issues, and human interest stories. Her work has also been featured in Newslaundry and Vogue India.

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

Geo Focus

Bronx, United States (Local)

Coverage Attributes:

Beta
Evolving Stories: 45 %
Breaking News: 42 %
Government Announcement: 2 %
Legal Policy Regulation: 2 %
Expert Commentary: 1 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Corporate Fraud
  • Financial Crimes
  • Insider Trading

Pitching Insights

Sheetal Banchariya's coverage predominantly focuses on evolving and breaking local news stories in New York City, with an emphasis on crime-related events. Pitches directed at Sheetal should aim to provide unique angles or exclusive information related to ongoing or recently emerged local news stories within the area of focus.

Given the concentration on crime-related themes, Sheetal may be interested in receiving pitches related to law enforcement policies, community impact of criminal activities, victim support initiatives, and legal proceedings.

Considering her broader coverage attributes that include entertainment news and government & politics topics alongside crime reporting, there might also be opportunities for pitching relevant content such as profiles of public figures from New York City or features exploring policy implications linked to recent events.

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
Chris Jose
Cobb County Bureau Chief
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data