Akshata Shetty

Journalist

AS SEEN ON

Preston's Summary

Akshata Shetty is a journalist at MSN and CNN-News18. With nearly two decades of experience, her work spans the realms of fashion, art, and music, focusing on the intersection of beauty and culture. Akshata’s fashion stories highlight individuals who celebrate the art of fashion and its impact on society.

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

Geo Focus

India (National)

Coverage Attributes:

Beta
Informative: 38 %
Promotional: 26 %
Events: 23 %
Gift Guides: 2 %
Reviews: 2 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Apparel Design
  • Fashion Industry
  • Jewellery
  • Luxury Goods
  • Film Industry
  • Celebrities
  • Entertainment News
  • Beauty Industry

Pitching Insights

Akshata Shetty's coverage overwhelmingly focuses on lifestyle events and fashion, particularly concerning high-profile events like the MET Gala and Cannes. She shows a keen interest in celebrity fashion choices and their association with specific designers.

If you are reaching out to Akshata, consider offering insights into upcoming or ongoing high-profile fashion events, trends in designer wear, or exclusive interviews with notable figures from the Indian fashion industry. Since she has a national focus on India, pitches related to Indian designers, celebrities at international events showcasing Indian attire or styles would likely capture her attention.

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

Journalists With Similar Coverage:

Based on similarity of content.
Most recent topics
Not enough data
Abhay Singh
Digital Journalist, BBC News
Most recent topics
Not enough data
Camille Freestone
Senior Digital Fashion Writer
Most recent topics
Not enough data
Most recent topics
Not enough data
Catherine Kallon
Passionate Red Carpet Fashion Enthusiast | Founder
Most recent topics
Not enough data
Most recent topics
Not enough data