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posted on 19 Jun 2024
I applied via Recruitment Consulltant and was interviewed in May 2024. There was 1 interview round.
My strength lies in my ability to quickly learn new technologies and adapt to changing environments.
Quick learner
Adaptable to change
Strong problem-solving skills
Excellent communication skills
Team player
posted on 18 Apr 2024
I applied via LinkedIn and was interviewed before Apr 2023. There were 2 interview rounds.
posted on 15 Sep 2021
I was interviewed in Jan 2021.
Round duration - 90 minutes
Round difficulty - Easy
This round consist of coding as well as mcq questions
Maintain a visited array and try to explore all the possibilities with the help of backtracking.
Round duration - 36 minutes
Round difficulty - Easy
The main idea is that when an array is sorted in descending order it becomes max heap as for every ‘i’ from i=0 to n/2 it is greater than equal to arr[2*i+1] and arr[2*i+2].
Space Complexity: O(1)Explanation:O(1)
We are using constant space to solve this.
Time Complexity: O(nlogn)Explanation:O(n*log(n)), where n is the size of the array.
Sorting an array takes O(n*log(n)) time complexity.
Let us initialize two pointers, newHead and newTail, with NULL (These will be the head and tail of the final list). Now traverse the given list. Ignore the first zero. Now, as you encounter non-zero nodes, add their values in a variable called ‘sum’. As soon as you encounter a node with data 0, change that node's value to ‘sum’, and
We will use Breadth-First Search to find the shortest path from cellNumber 1 to cellNumber N*N.
Tip 1 : I practiced a lot of problems related to Data structures on the Coding ninjas platform and other coding platforms.
Tip 2 : If you are stuck somewhere in a problem and want to see reference, first, try to understand the algorithm and then move on to code.
Tip 3 : Just see the algorithm that is how to approach first and don't try to understand from the code right off the bat, code has finer implementation variation that can be done on your own if you are clear with the algorithm. Also for big product companies, prepare enough problems of graphs and trees as these are the most important topics for interviews.
Tip 1 : Mention a good level of projects in your resume, and also give a brief detail about each and every project.
Tip 2 : Have at least 1 or 2 good projects from which you know everything involved in the project.
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