Problem of the day
Tip 1 : Start early and practice problems regularly.
Tip 2 : Give at least one contest in a week and upsolve the problems after the contest is over.
Tip 3 : For Machine Learning/ Data Science Roles, have a clear understanding of the basics like Linear Algebra, Probability.
Tip 1 : It is good to have an internship or some projects in your resume.
Tip 2 : Don't put some high-level ml algorithms in your resume unless you know the theory behind those algorithms.
The round was of 90 minutes.
The first section had 3 coding questions. (leetcode mediums)
The second section had problems based on probability and linear algebra and general mathematics.
The third section had MCQs based on some puzzles and cs fundamentals.
This round started with a brief discussion about my projects and previous internship(about 15 mins).
Then it was followed by 2 coding questions(10-12 mins for the first question and 15 mins for the second question).
The interviewer asked me if I had any questions. I asked 2-3 questions about the projects we will be working on the what exactly the company does.
It was a mix of HR+technical round. A senior person from the company took my interview. He first asked me about my interests and why I want to join this company and about my future goals. He then asked my favourite topic, and I said graphs. Then we had a good discussion on graphs and the different concepts and popular algorithms. Then he asked 2 coding questions, one related to graphs and one related to backtracking.
After this, we had a brief discussion of some of my ML projects.