They have bootcamps, which is good for entry levels. They offer career counseling, but it is not very effective. When issues arise, they handle them properly. They don't directly blame the resources but rather focus on improving the process of how work is done. They have many online and classroom trainings.
Be ready to offer long work hours without overtime pay.
Usually, you will be working 15 hours a day. The regular work hours are 10 hours, which include a one-hour break, so the 5 hours of overtime you render are not paid.
You will be asked to work during holidays.
There is an imbalance between compensation pay and appraisal.
I hope that people who work really hard and smart would be able to have good compensation.
1st round: Technical + Aptitude + Vocabulary + Coding test 2nd round: Communication Assessment 3rd round: Technical + HR Round (2 Panelists) Mostly the 3rd round is HR, so prepare for basic HR-related questions. Remember, the offer is given based
They came for a campus drive. The first two rounds were the written round and the communication round. In the interview, the interviewer took an introduction and then asked about my ideas and project. He didn't ask any particular technical questions
1. Tell me about yourself. 2. What was your final year project? What did you do in it? What was your role? 3. What is machine learning? 4. Impact of AI on data analytics. 5. What is cloud? 6. What is a hash map? Give an example. 7. Explain a co
1st round: Technical + Aptitude + Vocabulary + Coding test 2nd round: Communication Assessment 3rd round: Technical + HR Round (2 Panelists) Mostly the 3rd round is HR, so prepare for basic HR-related questions. Remember, the offer is given based
They came for a campus drive. The first two rounds were the written round and the communication round. In the interview, the interviewer took an introduction and then asked about my ideas and project. He didn't ask any particular technical questions
1. Tell me about yourself. 2. What was your final year project? What did you do in it? What was your role? 3. What is machine learning? 4. Impact of AI on data analytics. 5. What is cloud? 6. What is a hash map? Give an example. 7. Explain a co