Please review the feedback from M1s and M2s. These M1s and M2s are the ones who manipulate the outcome of people's ratings so that they can get good ratings for their reportees, resulting in good ratings for themselves. Best example: Arjit Agarwal.
Three Data Science and Algorithm rounds were there. In each round, two questions of medium complexity were asked. After discussing the solution, I was asked to write the program. It was fine to use dummy code.
This interview included telephonic and online technical interviews. There were a total of 4-5 rounds, I think. The interviewers were good, and I had a positive experience. I was interviewing for a frontend role.
Two technical rounds followed by an HR round. * The first round is more of a test of knowledge in the versions and releases of different frameworks. * The second round is more about design patterns and a simple computational knowledge check.
Three Data Science and Algorithm rounds were there. In each round, two questions of medium complexity were asked. After discussing the solution, I was asked to write the program. It was fine to use dummy code.
This interview included telephonic and online technical interviews. There were a total of 4-5 rounds, I think. The interviewers were good, and I had a positive experience. I was interviewing for a frontend role.
Two technical rounds followed by an HR round. * The first round is more of a test of knowledge in the versions and releases of different frameworks. * The second round is more about design patterns and a simple computational knowledge check.