The Interview Process included two Rounds: 1. Online Round: a. Work Style Assessment(Behavourial questions, do this very very seriously) + b. General Aptitude(Very Easy, just be careful and fast) + c. Code Debugging(7questions - Too easy mostly syntax debugging or simple logic debugging) + d. Coding Problem(2 questions - One was very easy, second one was tough, was around Graphs/Backtracking, most couldn't solve this and me too) 2. Personal Technical Interview: One round of technical Technical Interview. (They did interview some people twice, like me too). The interview can be divided into three parts: a. Introduction(5minutes): They asked to myself and interacted with me on the same. b. CV(10-15minutes): They will ask you about almost every Project or Internship mentioned in your CV. Do explain them well enough, mentioning your exact role in the work and the tech stack involved. They can ask you about concepts involved in such tech stacks. Like they asked me about Gradient Descent and other basic concepts since I had an ML project and a Data Science Internship. c. Problem-Solving(1hour): They will ask you 2-3 coding problems per interview for you to solve. The questions are of variable difficulty and are based on Data Structures and Algorithms completely. Explaining the problem, specially finding out your own errors is very important, even if you can't solve it entirely. They would ask you to write code using Pen-Paper. Make sure whatever code you right, even if it is logically incorrect a bit, it should be syntactically inch perfect(no pseudo-code) and the code should be clean(proper indentation and meaningful variable names). Also, acquire good understanding in time complexity and space complexity analysis so that you can analyze that in every step of your approach.

One online assessment and one virtual interview included a coding round and leadership principle questions; overall, the process was fairly straightforward and not overly challenging for me throughout the experience.