Mahima Sharma

Founder and Editor

AS SEEN ON

Preston's Summary

Mahima Sharma is the Founder and Editor at various platforms including Cigalah Group, Asiana Times, INDIAWEEKLY.COM, TechThirsty, The Economic Times, and JBC. She focuses on themes of religion and spirituality, culture and society, and natural sciences, exploring topics such as religious practices, meditation and mindfulness, wellness programs, and pop culture. Mahima's work has been featured in multiple prominent publications, highlighting her diverse interests and expertise.

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

Geo Focus

India (National)

Coverage Attributes:

Beta
Event Coverage: 46 %
Seasonal: 25 %
How To Guide: 20 %
Opinion Editorial: 3 %
Promotional Deal: 1 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Religious Practices
  • Meditation & Mindfulness
  • Wellness Programs
  • Pop Culture

Pitching Insights

Mahima Sharma's coverage suggests a focus on local cultural and religious events, astrology, and lifestyle topics. Her articles provide event coverage, seasonal information, and how-to guides related to Hindu festivals, astrology, zodiac signs, puja rituals, and the transit of planets.

To effectively reach out to Mahima Sharma with relevant pitches you might consider providing insights or expert commentary on Hindu festivals, astrological predictions tied to specific regional traditions in India. Additionally offering advice or tips on how-to guides related to Indian culture may also be well received by her audience.

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

Journalists With Similar Coverage:

Based on similarity of content.
Itisha Arya
Entertainment Sub Editor
Publications
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
Publications
Most recent topics
Not enough data