AmbitionBox
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Insights from employee reviews on AmbitionBox
3 reviews
3 reviews
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Intern
Data Science & Machine Learning Department
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Able to learn new skills, good communication, get to work in teams
Same projects are handed over to all the interns applying for over two years, no changes in projects.
Work days: Monday to Friday (Flexible Timings)
Work related travel: This is a desk job.
Intern
Data Science & Machine Learning Department
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This is scam company
They selling internship certificates
Intern
Data Science & Machine Learning Department
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internship structure
no dislikes i like everything
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View all 10 questionsIntern
Data Science & Machine Learning Department
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Good mentoring
Not giving stipend and job offers
Work timings: Flexible Timings
Work related travel: This is a desk job.
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Intern
Data Science Department
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Exact approach of company
Stipend
Work days: Monday to Friday (Flexible Timings)
Work related travel: This is a desk job.
Full Time
Data Science & Machine Learning Department
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Everything good
There is no appraisal
Top trending discussions
Full Time
Data Science & Machine Learning Department
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Guidance is very Good
Nothing
Work days: Monday to Saturday (Flexible Timings)
Work related travel: This is a desk job.
Intern
Data Science & Machine Learning Department
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Work timings: Flexible Timings
Work related travel: This is a desk job.
Intern
Engineering Department
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This is one of the best companies i have ever worked
perks are bit a course of dislike
Work days: Monday to Friday (Flexible Timings)
Work related travel: This is a desk job.
Intern
Data Science & Machine Learning Department
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work culture is really good
Project Structure are very poor
Work timings: Flexible Timings
Work related travel: This is a desk job.
Full Time
Data Science & Machine Learning Department
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Their projects and communication is good
Work timings: Flexible Timings
Work related travel: This is a desk job.
Full Time
Machine Learning Department
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nothing
very bad company, Don't give me single peny to them
Full Time
Data Science & Machine Learning Department
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Good job profile
No one
Work days: Monday to Friday (Strict Timings)
Intern
Data Science & Machine Learning Department
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Feynn Labs is highly rated for its excellent work-life balance, overall satisfaction, and job stability. Employees appreciate the positive work environment, fair opportunities for growth, and good company culture, making it a great place to work.
Feynn Labs offers a supportive environment with excellent growth opportunities, skill development, and work-life balance. Enhancing feedback processes could further improve the experience.
Intern
Data Science & Machine Learning Department
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Work life balance Great opportunity's to learn.
Can't think of anything negative.
Work days: Monday to Friday (Flexible Timings)
Work related travel: This is a desk job.
Intern
Data Science & Machine Learning Department
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Good projects. They provide good courses on ML.
Lack of stipend guarentee. We don't know for sure about the stipend.
Work days: Monday to Friday (Flexible Timings)
Work related travel: This is a desk job.
Intern
Operations Department
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I like how the organisation is giving the flexible working hours
Salary could've been allotted more
Intern
Data Science & Machine Learning Department
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Working on new technologies aiml
Group environment is not that much good
Work days: Monday to Friday (Flexible Timings)
Work related travel: This is a desk job.
Intern
Data Science & Machine Learning Department
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Very bad supportive.
Nothing will be good in teaching , They just provide 3 tasks and tell to complete within 2 months. After that they provide one certificate that it. They never provide any stipend to there Interns.
Intern
Data Science & Machine Learning Department
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I joined as intern for 2 months. It was good. The communication was good.
No job security.
Work days: Monday to Friday (Flexible Timings)
Work related travel: This is a desk job.
Intern
Data Science & Machine Learning Department
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To Gained Skills and knowledge about Machine Learning and Data Science Field, Getting Chance to work with team on project
Nothing, not provide real world projects
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