i
ShareChat
Filter interviews by
I applied via Referral and was interviewed before Mar 2023. There was 1 interview round.
Utilize AI algorithms to analyze user behavior and preferences to suggest relevant mentors and mentees on LinkedIn.
Implement machine learning models to analyze user interactions and preferences
Leverage natural language processing to understand user profiles and interests
Consider factors such as industry, skills, location, and experience for accurate suggestions
Allow users to provide feedback on suggested mentors/mentee
I appeared for an interview before Apr 2021.
Round duration - 45 Minutes
Round difficulty - Medium
It was in the mid day and since I applied for a Frontend role the discussion was majorly around data structure and bit of Javascript.
The interviewer was helping and good listener.
You are provided with two sorted linked lists. Your task is to merge them into a single sorted linked list and return the head of the combined linked list.
...Merge two sorted linked lists into a single sorted linked list without using additional space.
Create a dummy node to start the merged list
Compare the values of the two linked lists and add the smaller value to the merged list
Move the pointer of the merged list and the pointer of the smaller value list
Continue this process until one of the lists is fully traversed
Append the remaining elements of the other list to the me
Given an integer array arr
of size 'N' containing only 0s, 1s, and 2s, write an algorithm to sort the array.
The first line contains an integer 'T' representing the n...
Sort an array of 0s, 1s, and 2s in linear time complexity.
Use three pointers to keep track of 0s, 1s, and 2s while traversing the array.
Swap elements based on the values encountered to sort the array in-place.
Time complexity should be O(N) and space complexity should be O(1).
Round duration - 60 Minutes
Round difficulty - Medium
It was more of a in depth round on the framework I'm working on and problem solving.
The event loop is a mechanism in programming that allows for asynchronous execution of code.
The event loop is a key component in JavaScript's runtime environment, responsible for handling asynchronous operations.
It continuously checks the call stack for any pending tasks and executes them in a non-blocking manner.
The event loop ensures that the program remains responsive by allowing other code to run while waiting for ...
Output-based questions in JavaScript using browser APIs
Example 1: Write a script that uses the Geolocation API to display the user's current location on a map
Example 2: Create a program that uses the Web Audio API to play a sound when a button is clicked
Example 3: Develop a web page that uses the Canvas API to draw a simple animation
Designing a system to support localization in a mobile app
Use resource files to store localized strings for different languages
Implement a language selection feature for users to choose their preferred language
Utilize localization libraries or frameworks to streamline the process
Consider cultural differences when localizing content, such as date formats and currency symbols
Round duration - 75 Minutes
Round difficulty - Hard
It was more of a fitment/managerial round.
Didn't had any coding questions, but was asked more on approaches and optimisations.
Discussions on the project you have worked on.
To find the fastest 3 horses out of a group with 5 horses racing at a time, we can use a tournament style approach.
Divide the horses into groups of 5 and race them against each other. This will give you the fastest horse in each group.
Take the winners from each group and race them against each other. The top 3 horses in this final race will be the fastest 3 overall.
Keep track of the results and compare the timings to d
To debug lag on a screen, analyze code, check for memory leaks, optimize rendering, and use profiling tools.
Analyze code to identify any inefficient algorithms or operations causing lag.
Check for memory leaks that could be impacting performance.
Optimize rendering by reducing the number of draw calls, optimizing shaders, and minimizing overdraw.
Use profiling tools like Xcode Instruments or Android Profiler to identify p
The app I recently worked on is a social media platform for sharing photos and connecting with friends.
The app follows a client-server architecture, with the client being the mobile app and the server handling data storage and processing.
The client side is built using React Native for cross-platform compatibility.
The server side is implemented using Node.js with a MongoDB database for storing user data and photos.
The a...
Tip 1 : Get your JS fundamentals right (if applying for a Frontend role, https://javascript.info/ is a good start)
Tip 2 : Apart from preparing data structures, practise on the communication skills as well (prepare your introduction, be a good listener and on spot improvisation plays key roles)
Tip 1 : highlight projects related to the job profile in your resume and mention what was your contribution in them precisely in 1/2 lines.
Tip 2 : Include URLs to applications/projects that you have build and your achievements/blog (if any)
I applied via Referral and was interviewed in Oct 2020. There was 1 interview round.
I appeared for an interview before Sep 2020.
Round duration - 60 Minutes
Round difficulty - Easy
A thief is planning to rob a store and can carry a maximum weight of 'W' in his knapsack. The store contains 'N' items where the ith item has a weight of 'wi' and a value of...
Yes, the 0/1 Knapsack problem can be solved using dynamic programming with a space complexity of not more than O(W).
Use a 1D array to store the maximum value that can be stolen for each weight capacity from 0 to W.
Iterate through each item and update the array based on whether including the item would increase the total value.
The final value in the array at index W will be the maximum value that can be stolen.
Given an array or list of integers 'ARR', identify the second largest element in 'ARR'.
If a second largest element does not exist, return -1.
ARR = [2,...
Find the second largest element in an array of integers.
Iterate through the array to find the largest and second largest elements.
Handle cases where all elements are identical.
Return -1 if a second largest element does not exist.
Round duration - 60 Minutes
Round difficulty - Easy
System Design Round
Design a scalable system for Twitter with key components and architecture.
Use microservices architecture for scalability and fault isolation.
Key components include user service, tweet service, timeline service, and notification service.
Use a distributed database like Cassandra for storing tweets and user data.
Implement a message queue like Kafka for handling real-time updates and notifications.
Use a caching layer like ...
Round duration - 30 Minutes
Round difficulty - Easy
It is just a formality
Tip 1 : System Design
Tip 2 : Practice questions from leetcode
Tip 3 : Have some projects.
Tip 1 : Mention what you know
Tip 2 : Good previous work to showcase
I appeared for an interview before Sep 2022.
On business growth and marketing
I applied via Referral and was interviewed in Mar 2022. There were 7 interview rounds.
Normal product sense questions
I appeared for an interview in Feb 2025.
Data Structures, Coding MCQs
Data structures are organized formats for storing, managing, and accessing data efficiently.
1. Types: Common data structures include arrays, linked lists, stacks, queues, trees, and graphs.
2. Arrays: Fixed-size collections of elements, e.g., [1, 2, 3, 4].
3. Linked Lists: Collections of nodes where each node points to the next, e.g., 1 -> 2 -> 3.
4. Stacks: Last-in, first-out (LIFO) structures, e.g., function call ...
Depth-First Search (DFS) is a graph traversal algorithm that explores as far as possible along each branch before backtracking.
DFS uses a stack data structure, either explicitly or via recursion.
It starts from a selected node and explores each branch before backtracking.
Example: In a binary tree, DFS can be implemented using pre-order, in-order, or post-order traversal.
DFS can be used to find connected components in a ...
I applied via Naukri.com and was interviewed in Oct 2024. There were 4 interview rounds.
Easy level to Medium level
2 Easy questions of DSA
I applied via Campus Placement and was interviewed in Nov 2024. There were 4 interview rounds.
Questions from arrays and strings and some aptitude questions
To merge two CSV files, you can use software like Microsoft Excel or programming languages like Python.
Open both CSV files in a software like Microsoft Excel.
Copy the data from one CSV file and paste it into the other CSV file.
Save the merged CSV file with a new name.
Alternatively, you can use programming languages like Python to merge CSV files by reading both files, combining the data, and writing to a new file.
I applied to this company because of its reputation in the industry, opportunities for growth, and company culture.
Reputation in the industry - I have heard great things about the company's innovative projects and successful track record.
Opportunities for growth - The company offers various training programs and career advancement opportunities for employees.
Company culture - I value a positive work environment and the...
based on 1 interview
Interview experience
Senior Associate Operations
137
salaries
| ₹4 L/yr - ₹8.4 L/yr |
Operations Associate
125
salaries
| ₹3.5 L/yr - ₹6.1 L/yr |
Lead Operator
87
salaries
| ₹6 L/yr - ₹12.7 L/yr |
Territory Sales Manager
68
salaries
| ₹4 L/yr - ₹8.8 L/yr |
Associate Product Manager
62
salaries
| ₹14.5 L/yr - ₹41 L/yr |
Udaan
Swiggy
CARS24
BlackBuck