Culture, supportive management, projects, diversity, and opportunities.
Cafeteria food can be improvised. Parking can be managed better.
Easy interview. Three rounds, all technical. Coding, theory, and practical scenario-based questions were asked. All fundamentals of machine learning will be asked, then some string manipulation and basic coding questions.
Two technical rounds and one HR round, no coding was asked. Pure ML, NLP, and GenAI stuff. About projects in different technologies and evaluation metrics for classification, regression, and clustering.
The interviewer was some Gurpreet who had no goddamn idea of data science. They just enjoyed bluffing around, asked me irrelevant questions, and laughed at all my answers. Not at all recommended. They take billions of dollars from clients and have th
Easy interview. Three rounds, all technical. Coding, theory, and practical scenario-based questions were asked. All fundamentals of machine learning will be asked, then some string manipulation and basic coding questions.
Two technical rounds and one HR round, no coding was asked. Pure ML, NLP, and GenAI stuff. About projects in different technologies and evaluation metrics for classification, regression, and clustering.
The interviewer was some Gurpreet who had no goddamn idea of data science. They just enjoyed bluffing around, asked me irrelevant questions, and laughed at all my answers. Not at all recommended. They take billions of dollars from clients and have th