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I applied via LinkedIn and was interviewed in Jul 2021. There were 3 interview rounds.
I worked as a Software Engineer Front End at XYZ Company.
Developed and maintained front-end applications using HTML, CSS, and JavaScript.
Collaborated with designers and back-end developers to implement user-friendly interfaces.
Optimized website performance by implementing efficient coding practices.
Implemented responsive design principles to ensure compatibility across different devices.
Worked on integrating APIs and t...
Seeking new challenges and growth opportunities in a different environment.
Looking for a change to expand my skill set and learn new technologies.
Seeking a more collaborative and innovative work culture.
Wanting to work on larger and more complex projects.
Desire to work with a diverse team and gain exposure to different perspectives.
Seeking better work-life balance or location-based reasons.
In 5 years, I see myself as a senior software engineer leading a team, working on cutting-edge technologies and contributing to the success of the company.
Leading a team of software engineers
Working on cutting-edge technologies
Contributing to the success of the company
Continuing to learn and grow in my role
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I applied via Recruitment Consultant and was interviewed before Jul 2020. There was 1 interview round.
I was interviewed before Sep 2020.
Round duration - 60 minutes
Round difficulty - Easy
Round duration - 50 minutes
Round difficulty - Easy
Round duration - 60 minutes
Round difficulty - Easy
At the beginning of this round, the interviewer asked me about the data structures I knew. Linked lists, trees, graphs, arrays etc. was my answer. He asked me how well I knew Dynamic Programming. I said I wasn’t strong in that and he said that he would ask me a question on dynamic programming for sure.
Round duration - 40 minutes
Round difficulty - Easy
The interviewer asked me if I was comfortable with the interview process so far and how the previous interviews were. I said it was good and he gave me the first problem to solve.
Round duration - 60 minutes
Round difficulty - Easy
The interviewer asked me some Computer Science fundamentals in this round as well as some behavioural questions.
Implement a Trie data structure with insert and search functions.
Create a TrieNode class with children and isEndOfWord attributes.
Implement insert function to add words by iterating through characters.
Implement search function to check if a word exists by traversing the Trie.
Example: Insert 'apple', 'banana', 'orange' and search for 'apple' and 'grape'.
Do lot of hard work and practice of Data Structures and Algorithms based questions. I personally recommend you Coding Ninjas and Geeks For Geeks for interview preparation.
Application resume tips for other job seekersMake your resume short and try to make it of one page only and do mention all your skills which you are confident of in your resume.
Final outcome of the interviewSelectedI applied via Recruitment Consultant and was interviewed before Apr 2020. There were 4 interview rounds.
I applied via Campus Placement and was interviewed before May 2021. There were 2 interview rounds.
Accounting is the process of recording, classifying, and summarizing financial transactions to provide information that is useful in making business decisions.
Classification of accounting includes financial accounting, management accounting, tax accounting, and auditing.
Financial accounting involves recording and reporting financial transactions for external stakeholders.
Management accounting involves providing financi...
I applied via Naukri.com and was interviewed before Feb 2021. There was 1 interview round.
I was interviewed in Aug 2017.
Merge Sort is a divide and conquer algorithm that sorts an array by dividing it into two halves, sorting them separately, and then merging the sorted halves.
Divide the array into two halves
Recursively sort the two halves
Merge the sorted halves
Find pairs of integers in a BST whose sum is equal to a given number.
Traverse the BST and store the values in a hash set.
For each node, check if (X - node.value) exists in the hash set.
If yes, add the pair (node.value, X - node.value) to the result.
Continue traversal until all nodes are processed.
Merge overlapping time intervals into mutually exclusive intervals.
Sort the intervals based on their start time.
Iterate through the intervals and merge overlapping intervals.
Output the mutually exclusive intervals.
Example: [(1,3), (2,6), (8,10), (15,18)] -> [(1,6), (8,10), (15,18)]
Different types of hashing and alternative for Linear Chaining
Different types of hashing include division, multiplication, and universal hashing
Alternative for Linear Chaining is Open Addressing
Open Addressing includes Linear Probing, Quadratic Probing, and Double Hashing
An AVL tree is a self-balancing binary search tree where the heights of the left and right subtrees differ by at most one.
AVL tree is a binary search tree with additional balance factor for each node.
The balance factor is the difference between the heights of the left and right subtrees.
Insertion and deletion operations in AVL tree maintain the balance factor to ensure the tree remains balanced.
Rotations are performed ...
Find the minimum number of squares whose sum equals to a given number n.
Use dynamic programming to solve the problem efficiently.
Start with finding the square root of n and check if it is a perfect square.
If not, then try to find the minimum number of squares required for the remaining number.
Repeat the process until the remaining number becomes 0.
Return the minimum number of squares required for the given number n.
Insertion sort for a singly linked list.
Traverse the list and compare each node with the previous nodes
If the current node is smaller, swap it with the previous node
Repeat until the end of the list is reached
Time complexity is O(n^2)
To determine if a point is inside a polygon, use the ray casting algorithm.
Create a line from the point to a point outside the polygon
Count the number of times the line intersects with the polygon edges
If the count is odd, the point is inside the polygon; otherwise, it is outside
The four storage classes in C are auto, register, static, and extern.
Auto: default storage class for all local variables
Register: used to define local variables that should be stored in a register instead of RAM
Static: used to define local variables that retain their value between function calls
Extern: used to declare a global variable that is defined in another file
i is stored in global data segment, j is stored in stack, k is stored in heap.
i is a global variable and is stored in the global data segment
j is a local variable and is stored in the stack
k is a pointer variable and is stored in the stack, while the memory it points to is allocated on the heap using malloc()
Use a hash table to store the words and check for existence in constant time.
Create a hash table with the words as keys and a boolean value as the value.
For each new word, check if it exists in the hash table. If it does, it has appeared before. If not, add it to the hash table.
Alternatively, use a set data structure to store only the unique words and check for existence in the set.
I applied via Referral and was interviewed before Apr 2021. There were 2 interview rounds.
Puzzles, Psychometric Test
I applied via Naukri.com and was interviewed before Mar 2021. There was 1 interview round.
Trust and Safety Specialist
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Software Engineer
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Senior Software Engineer
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Content Reviewer
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Account Director
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Microsoft Corporation
Amazon