BOSQ Ergonomic Living Management Trainee Interview Questions and Answers

Interview preparation tips for other job seekers - Be 100% prepared on what you have shared on your resume. Have a thorough knowledge regarding it.

Interview preparation tips for other job seekers - Tell them you are here for Making money

Interview preparation tips for other job seekers - Need to explain basic concepts clearly

Round: Resume Shortlist
Experience: For CSE and EE students , CPI was not at all seem to be a criteria for shortlisting and almost all who have a decent profile got shortlisted for the test. However, for other department students they shortlisted above 9 CPI students.

Round: Test
Experience: It was a 2 hour test. It consisted of 3 sections-Quant , Machine Learning and Computer Science . Each section had 10 questions and 45 minutes were allotted for each section.
Being from non-CSE background I attempted only 2 sections ie. Quant and Machine Learning. Machine Learning section was fairly easy this time and almost all questions were standard. If someone has done an introductory course on Machine Learning and basic stats , this section was a cake walk for him. However , attempting quant section required some preparation of solving probability puzzles (computing expectations etc.) ,basic linear algebra and geometry base questions.
Duration: 2 hours

Round: Technical Interview
Experience: I had 2 rounds of interview. Both were technical ones.
In the first interview , they asked some probability puzzles (from 50 challenging problems in probability book) . Since I had completed that book before , I was able to solve them . Then they asked 1-2 algorithm based questions like formulate an efficient algorithm for solving a particular problem. I was not able to solve them completely but tried to give them the overview of y approach. The interviewer didn't seem to be satisfied though. It lasted for around 20-25 minutes.He told me to wait outside . To my surprise, I was called for the 2nd round.
The second went better than the first round. They again asked questions on computing probability , expectations , constructing a Markov Chain for a a given problem etc. Since I had done 1 course in Fiance also , he asked me questions from it also which were quite easy. Then he began asking algorithms and asked me to explain a sorting algorithm and I chose Quick Sort. While explaining it , I got struck at one point but the interviewer was helping me by giving hints and I was able to explain it fully. The second round was quite exhaustive as it went on for around 45-60 minutes.

Skills: Problem Solving Abilties, Mathematical Aptitude, Algorithmic Approach To Problem Solving, Machine Learning, Statistical Method Basics
College Name: IIT Kanpur

Round: Resume Shortlist
Experience: They shortlist around 300 resume from whole batch for next round.
Tips: Basically add your projects related to Machine Learning and coursework related to Math. GS is one of the companies which reviews resume carefully (At least I think so :P), reason being me selected even after a low CPI. Around 250 to 300 students were shortlisted from resume for second round.
GS is one of the rarest firms that will go through your resume thoroughly. Most important part is that GS is a firm you want to go for if you have a modest CPI and are genuinely interested in global markets.
They hire for Strats and Quants division. So highlight projects related to Natural Language Processing, Artificial Intelligence and Machine Learning Techniques. Mathematical coursework and internship in related field could be elaborated too. Even students with no internship experience whatsoever were selected due to their background in Machine Learning related coursework.
I have a little or no idea about programming division as it revolves around networking and related projects.

Round: Test
Experience: They started hosting test online on hackerrank. It includes three sections with equal weightage to each of them. You have 45 minutes for individual sections. There are three type of questions asked - MCQ (+10, -3), Fill in the blanks (Numbers upto 2 decimal places; +10, -0) and 2 coding questions in programming section (+20, -0).
Programming - 2 coding questions. Questions about networking, cache and DSA (postfix and prefix expression from stack related algorithms).
Quant - Cattle grazing the circular field tied from a pole at the corner of a rectangular shade with a rope. Some about practical probability problem of die throws. Other about matrices and determinant. Theoretical questions in probability covers a major portion in form of expected value, correlation and covariance calculations. This section had some integer type questions.
Data Sciences - MLT theory should be a stronghold. Particularly confusing theoretical questions. Some of them had 4 statements and then 4 options asking correct statements so you have to be good at multiple topics. Typical question include possible solution to account for missing input data and regularization among others.
Tips: You have to be good at any two of the sections. Quant is quite competitive as the questions are easier and CSE guys can attempt these too from mathematical coursework on prob and stats. Typically whole batch is rooting for this profile because of lesser chance in CS related profile.
A little brushing up old DS notes won't hurt anyone. Specially tree, graphs (algorithms like Bellman Ford, Djikstra and Prim's algo), complexity of standard algorithms and postfix, prefix expression derivation will help a long way. Coding questions demand efficient solution, otherwise you won't be able to clear all test cases because of TLE.
For quant, Prob Stats and Linear Algebra course review is highly recommended. A little aptitude (CAT related although a lot higher standard than that) will help too.
In data sciences, ML lectures will help a lot as most part is theoretical which can be solved if you have your concepts strong. Gaussian distribution, Regularizer, PCA are some of the topics which were asked about.
Duration: 2 hours 15 minutes

Round: Technical Interview
Experience: At first I couldn

Round: Test
Experience: The test had 2 parts. 1)Objective (90 mins) 2) Subjective (90 mins). Both the paper were divided into 3 sections 1) Computer Science 2)Math & 3)Data Science .

To get shortlisted you need to do well on only one of the section.

Round: Technical Interview
Experience: Probability Interview and discussion on projects that I have worked upon on in the institute.

Probability questions were given a quadratic equation whose coefficients are RVs , what is the probability that the roots are real.

College Name: IIT Madras

Round: Test
Experience: They had two rounds of test, one all objective and the other one all subjective. You had to clear a minimum cut off in the objective in order to get your subjective checked
Duration: 3 hours
Total Questions: 40

Round: Technical Interview
Experience: CV grilling, no hr questions

Round: Test
Experience: You are not supposed to know everything. If you do exceptionally well in one or two sections in each paper and even leave third section completely (which I did) then you are through. Third section was mainly for CSE guys. In subjective part Algorithm section had 5 questions and maths section had 4 questions. Questions in maths section were based on probability, linear algebra, differential equation and discrete maths. Randomized algorithm course taught by Baswana sir was really helpful in doing probability questions. Questions were doable if you knew the concepts well. For algorithms part concepts taught in basic Data structure and algorithm course were enough. Questions were based on linked list, binary tree, stack, queue, sorting, Dijkstra etc.
Duration: 75 minutes minutes

Round: Test
Experience: Each section in objective paper had 10 questions and there was negative marking. On the basis of test they selected 75 candidates.
Duration: 75 minutes minutes

Round: Technical Interview
Experience: I was asked about my thesis 3-4 times as I had done some good work in Thesis and had submitted 2 paper based on it. Also as my work was on (Data Compression) Information theory which involves a lot probability and the problems I worked on was of theoretical nature, so I was able to relate it with them. So it was one of my plus point. They asked some questions from topics related to my thesis.

Round: Puzzle Interview
Experience: They asked some algorithmic puzzles and some probability and other maths puzzles. At no point of time I was asked to write the code (but it totally depends on the team they are looking you for) I just had to tell them how to solve the problem.
Tips: Don’t hurry in interview and take your time to solve the problem. Also at every point keep interviewer engaged and keep telling him in which direction you are proceeding and also why you are doing this.

General Tips: Start preparing from summer itself. If you are targeting quant companies I will advise you start preparing even before for probability and puzzles as you can’t become good in these things overnight. I am not saying you to give 1 -2 hour daily for puzzles rather I will advise you to do just 1-2 puzzles whenever you have time and enjoy it.

Don’t leave everything for the last time you will for sure run short of time so finish the important tasks first. Make goals which are practically achievable.

Skill Tips: Focus on your Study.. Revise the subject that you have studied at the time of Interview
Skills: Technical Skills
College Name: IIT Kanpur