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I appeared for an interview in Apr 2017.
I am a passionate developer with a strong background in web development and a love for problem-solving.
Experienced in HTML, CSS, JavaScript, and various web development frameworks
Proficient in backend development with Node.js and databases like MongoDB
Strong understanding of responsive design and user experience principles
I am impressed by your company's innovative projects and strong team culture.
I admire your company's commitment to pushing boundaries in technology.
I am excited about the opportunity to work with a talented team of developers.
Your company's reputation for fostering growth and learning aligns with my career goals.
I am passionate about web development, machine learning, and open-source projects.
Web development: I enjoy creating responsive and user-friendly websites using HTML, CSS, and JavaScript.
Machine learning: I am fascinated by the potential of AI and enjoy working on projects involving data analysis and predictive modeling.
Open-source projects: I actively contribute to open-source projects on platforms like GitHub, collabo...
My attention to detail and problem-solving skills set me apart from others.
I have a keen eye for spotting errors and inconsistencies in code
I excel at troubleshooting and finding solutions to complex technical issues
I am constantly seeking to improve my skills and stay up-to-date with the latest technologies
I applied via Naukri.com and was interviewed before Feb 2021. There were 2 interview rounds.
I applied via Company Website and was interviewed in Oct 2018. There was 0 interview round.
I applied via Campus Placement and was interviewed before Feb 2021. There were 2 interview rounds.
Focus on industry-specific nuances
I applied via Naukri.com and was interviewed before May 2021. There were 2 interview rounds.
Coding questions will be given
I applied via Walk-in and was interviewed before Sep 2019. There was 1 interview round.
I applied via Naukri.com and was interviewed before Dec 2020. There were 3 interview rounds.
I applied via Walk-in and was interviewed before Sep 2019. There were 3 interview rounds.
I appeared for an interview 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)
I applied via Naukri.com and was interviewed before Dec 2020. There were 3 interview rounds.
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