Interview rounds:
1.Online Round
2.Technical Round 1
3.Technical Round 2
4.Technical Final Round
1.Online Round
This round had 10 to 15 MCQ questions which were mainly from Appti (Series,AP,GP,Probability ,Statistics), Logical Thinking and other mathematical problems and 1 program question
2.Interviews
(Candidate-1)
i) Technical Round 1
This round was split into two halves which were engaged with two different persons.
Person1 interviewed all the basics concepts of probability and statistics like distributions topics such as binomial,geometric,normal and their applications in real time problems/products.
Then he dive into normal distribution to explore more about it like standard deviation ,mean,purpose of standard deviation in normal distribution,and he asked me to represent normal distribution diagrammatically with labels (mean,s.d)
After getting wet by normal distribution dive ,he asked me to explain briefly about my paper work,in there i used Machine Learning models,then he questioned about my data set and its description,repository of the data set and models (algorithms) which i used in a very brief manner.
Then he asked about Bayes Theorem and for a given scenario he asked me to apply bayes theorem.
Then he asked a program which was asked in first round and after i explained that program ,Another program question was given to solve.
After answering,solving mainly discussing for a hour this Person1 interview of Technical Round1 was over.
Person2 asked me to solve a binary tree problem
Problem:Update a tree where every node value is equal to the sum of their children.
Attempted four times to solve this program and finally convinced the interviewer This lasted for 45 minutes.
ii).Technical Round 2
This round had a questions mainly from my paper work,algorithms and tool which i used and from project - project flow,database schema,technical aspects.And also standard statistics and probability questions were asked again .This round lasted for 1 hour.
iii).Technical Final Round
This round held at FourKites Office and its lasted for 1.30 hr.
Questions from my projects,more from paper work was there.
Questions from Lagrange's Multiplier,Taylor's series and their application and dbms queries were asked
(Candidate-2)
i) Technical Round 1
This round was split into two halves which were engaged with two different persons.
Started with introduction(from both the ends).
Then he asked me to explain any one academic project and asked me several questions from that.
This was followed by a pen and paper coding test.
He asked me a simple program to solve but wanted the efficient way of solving.
https://www.geeksforgeeks.org/the-stock-span-problem/
He gave clues and enough time to solve.
ii).Technical Round 2
Asked questions from the projects I have mentioned in my resume.
Basic knowledge on probability and statistics was tested.
He asked definitions of common terms used in probability and statistics with one good real time example for each.
Then my analytics skills were tested.
Given a table with following fields:
Class | Teacher | Average | Maximum marks | Minimum marks
the question was to find the best teacher and give justifications.
The numbers in the table was very easy to conclude and justify.
He changed the numbers and I gave answers.
But the justification have provided was like simple predictions based on Average and Standard deviation.
But he said that he expected me to provide graphs/distributions to prove my answer.
Result ~Rejected~
1.Online Round
2.Technical Round 1
3.Technical Round 2
4.Technical Final Round
1.Online Round
This round had 10 to 15 MCQ questions which were mainly from Appti (Series,AP,GP,Probability ,Statistics), Logical Thinking and other mathematical problems and 1 program question
2.Interviews
(Candidate-1)
i) Technical Round 1
This round was split into two halves which were engaged with two different persons.
Person1 interviewed all the basics concepts of probability and statistics like distributions topics such as binomial,geometric,normal and their applications in real time problems/products.
Then he dive into normal distribution to explore more about it like standard deviation ,mean,purpose of standard deviation in normal distribution,and he asked me to represent normal distribution diagrammatically with labels (mean,s.d)
After getting wet by normal distribution dive ,he asked me to explain briefly about my paper work,in there i used Machine Learning models,then he questioned about my data set and its description,repository of the data set and models (algorithms) which i used in a very brief manner.
Then he asked about Bayes Theorem and for a given scenario he asked me to apply bayes theorem.
Then he asked a program which was asked in first round and after i explained that program ,Another program question was given to solve.
After answering,solving mainly discussing for a hour this Person1 interview of Technical Round1 was over.
Person2 asked me to solve a binary tree problem
Problem:Update a tree where every node value is equal to the sum of their children.
Attempted four times to solve this program and finally convinced the interviewer This lasted for 45 minutes.
ii).Technical Round 2
This round had a questions mainly from my paper work,algorithms and tool which i used and from project - project flow,database schema,technical aspects.And also standard statistics and probability questions were asked again .This round lasted for 1 hour.
iii).Technical Final Round
This round held at FourKites Office and its lasted for 1.30 hr.
Questions from my projects,more from paper work was there.
Questions from Lagrange's Multiplier,Taylor's series and their application and dbms queries were asked
(Candidate-2)
i) Technical Round 1
This round was split into two halves which were engaged with two different persons.
Started with introduction(from both the ends).
Then he asked me to explain any one academic project and asked me several questions from that.
This was followed by a pen and paper coding test.
He asked me a simple program to solve but wanted the efficient way of solving.
https://www.geeksforgeeks.org/the-stock-span-problem/
He gave clues and enough time to solve.
ii).Technical Round 2
Asked questions from the projects I have mentioned in my resume.
Basic knowledge on probability and statistics was tested.
He asked definitions of common terms used in probability and statistics with one good real time example for each.
Then my analytics skills were tested.
Given a table with following fields:
Class | Teacher | Average | Maximum marks | Minimum marks
the question was to find the best teacher and give justifications.
The numbers in the table was very easy to conclude and justify.
He changed the numbers and I gave answers.
But the justification have provided was like simple predictions based on Average and Standard deviation.
But he said that he expected me to provide graphs/distributions to prove my answer.
Result ~Rejected~
Comments
Post a Comment