Shipra Singh

Special Correspondent

AS SEEN ON

Preston's Summary

Shipra Singh is a Special Correspondent for LiveMint, with a focus on national news in India. She has also contributed to other publications such as TV Season Spoilers, The Economic Times, and The Madras Tribune. Shipra's articles cover a wide range of topics including personal finance, real estate, women's rights, and consumer trends.

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

Geo Focus

India (National)

Coverage Attributes:

Beta
Investment Analysis: 16 %
Expert Commentary: 14 %
Cites Data: 13 %
Government Announcement: 10 %
Promotional Deal: 10 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Real Estate Investment
  • Credit Health
  • Cryptocurrency
  • Adventure Travel
  • Wealth Management
  • Alternative Investments

Pitching Insights

Shipra Singh's articles predominantly focus on personal finance, taxation, and real estate in India. She often includes expert commentary and investment analysis in her coverage.

If you want to reach out to Shipra Singh, consider offering insights from financial experts or analysts who can provide valuable perspectives on personal finance strategies, tax implications of investments, savings tips specific to the Indian market, credit card rewards programs popular in India, and trends in real estate within the country.

Given her national focus on India, pitches should offer localized advice or insights relevant to the Indian financial landscape.

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

Journalists With Similar Coverage:

Based on similarity of content.
Tarun Bhardwaj
Assistant Director Communication
Publications
Most recent topics
Not enough data
Publications
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
Publications
Most recent topics
Not enough data