Three rounds. Round 1 was the online test: an easy English MCQ section, an aptitude section with both easy and tough questions, then technical MCQs on C, data structures and algorithms (longest common subsequence, knapsack, time complexity, sorting) plus a coding question that combined two or more series. Round 2 was a 45-minute Skype interview that began with the resume — the panel noticed R, Python and a machine-learning minor project and dug in: why ML, the candidate's role in the project, Big Data, regression, clustering, k-means and classification, then a program in C and in R to check whether a year is a leap year. It closed with favourite subjects in class 12, willingness to relocate, and what happens if another company offers a higher package. Round 3 was a group HR round that scanned mark sheets for gaps in marks and asked the eight candidates to name the four people the panel should hire.