
Gahana Gowri
@gahanagowri
ML Data Operations Associate at Amazon, reviewing and labeling image and video data.
What I'm looking for
At Amazon, I perform data annotation and review and label information from images and videos. I follow defined guidelines and standard processes while maintaining accuracy and consistency.
I'm an MBA graduate specializing in Human Resource Management, with a strong interest in core HR functions. My skills include employee data management, HR operations, and employee lifecycle management.
For my HR Analytics project, I studied employee experience in the IT industry and analyzed employee data and feedback to understand engagement and retention factors. I evaluated how HR practices affect satisfaction and performance, and suggested data-driven improvements.
As a Digital Marketing Intern at Silo Fortune Pvt. Ltd, I created Canva posters and social media creatives, developed content scripts, and edited videos and reels. I also handled client queries and maintained reports.
Experience
Work history, roles, and key accomplishments
Perform data annotation tasks as per defined guidelines. Review and label information from images and videos.
Digital Marketing Intern
Silo Fortune Pvt. Ltd
Oct 2025 - Feb 2026 (4 months)
Created Canva posters and social media creatives for digital marketing campaigns. Developed content scripts and edited videos/reels for online engagement.
Education
Degrees, certifications, and relevant coursework
Haranahalli Ramaswamy Institute of Higher Education
MBA, Human Resource Management
2024 - 2025
Grade: 7.6 CGPA
MBA with specialization in Human Resource Management, achieving a CGPA of 7.6.
Govt First Grade College for Women's
BBA, Business Administration
2020 - 2023
Grade: 7.611 CGPA
Bachelor of Business Administration degree, achieving a CGPA of 7.611.
Brilliant PU College
PU, Pre-University
2017 - 2019
Grade: 75.16%
Pre-University course, achieving a score of 75.16%.
Elite School
SSLC, General
2017 - 2017
Grade: 80.64%
Secondary School Leaving Certificate, achieving a score of 80.64%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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