Suryatapa Bhattacharya

Breaking News Reporter

AS SEEN ON

Preston's Summary

Suryatapa Bhattacharya is a Breaking News Reporter for The Wall Street Journal. With a focus on delivering up-to-the-minute news, Suryatapa covers a wide range of topics including crime, politics, entertainment, and natural disasters. With a dedication to accuracy and timeliness, Suryatapa brings important stories to readers across the globe.

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

Geo Focus

Coverage Attributes:

Beta
Evolving Stories: 23 %
Breaking News: 23 %
Government Announcement: 10 %
Legal Policy Regulation: 8 %
Press Release: 8 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Small businesses
  • Hollywood
  • Matthew Perry
  • Georgia
  • District maps
  • Active shooter
  • Lewiston
  • Maine
  • Winter weather
  • Nobel Laureate
  • Louise Glück
  • Car theft
  • Washington
  • Tropical Storm Hilary
  • Hurricane Hilary
  • Southern California

Pitching Insights

Suryatapa Bhattacharya's coverage spans a wide range of topics, including government and politics, entertainment news, scientific developments, and tragedy. Her articles often focus on evolving stories and breaking news.

Given the varied nature of her coverage, Suryatapa may be open to pitches related to ongoing political developments such as redistricting efforts or high-profile legal cases. She also covers tragic events and weather-related incidents extensively. Pitches related to these areas should provide unique angles or access to exclusive information that can contribute to the evolving narratives she frequently covers.

For entertainment-focused pitches related to Hollywood or specific personalities like Matthew Perry, ensure they are timely and offer newsworthy insights into relevant industry trends or notable figures.

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
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data