Interview Experience The interview started with a standard “Tell me about yourself.” Based on my introduction, the discussion moved into Django, followed by an in-depth focus on Python, which formed the major part of the interview. The Python section covered core concepts thoroughly, including: Mutable vs immutable data types Lambda functions map, filter, and reduce with examples Public, protected, and private variables (with examples and runtime behavior) Difference between @staticmethod and @classmethod Difference between == and is in Python Global Interpreter Lock (GIL) and whether Python supports multithreading Whether a list can be used as a key in a dictionary and why The interview then moved to Pandas, where I was asked about: Difference between loc and iloc apply vs map merge vs join Finally, there was a SQL round, which included: Types of joins Explanation and example of a self join What a stored procedure is Overall, the interview was concept-heavy and technical, focusing on fundamentals and real understanding rather than superficial answers. Being thorough with Python basics, Pandas, and SQL concepts is key to doing well.

After looking out and researching here on glassdoor, realised that you don't have any career upgrade opportunities. also, I had to wait almost a month for the response of my application. So, I did not even had the consideration to attend the first interview phase. This can be a good choice for people who wants a fixed job with a monotonous task.