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I appeared for an interview before May 2020.
I applied via LinkedIn and was interviewed in Sep 2023. There were 3 interview rounds.
Medium level coding question
I applied via Company Website and was interviewed in Aug 2021. There was 1 interview round.
I can promote Coding Ninjas courses by organizing coding events, sharing course details on social media, and collaborating with college clubs.
Organize coding events in college and invite Coding Ninjas as a sponsor or guest speaker
Share course details on social media platforms like Facebook, LinkedIn, and Twitter
Collaborate with college clubs like coding clubs, tech clubs, and entrepreneurship clubs to promote the cours...
I applied via Referral and was interviewed before Nov 2023. There was 1 interview round.
Write the video script for a topic provided by the upgrad team and create a ppt for an video script.
A linked list is a linear data structure where elements are stored in nodes with each node pointing to the next node in the sequence.
Consists of nodes connected by pointers
Can be singly linked or doubly linked
Allows for dynamic size and efficient insertion/deletion
I applied via Naukri.com and was interviewed before Oct 2022. There were 4 interview rounds.
Implement login with Google SSO, show emails in a single place
JWT can be implemented by generating a token with user information and a secret key, then verifying the token using the same secret key.
Generate a JWT token with user information and a secret key
Include necessary claims like expiration time, issuer, etc.
Verify the JWT token using the same secret key
Handle token expiration and refresh if needed
Middleware in Express is a function that has access to the request and response objects.
Create a middleware function using app.use() method in Express.
Middleware functions have access to the request object (req), the response object (res), and the next middleware function in the application's request-response cycle.
Example: app.use((req, res, next) => { console.log('This is a middleware function'); next(); });
Lazy loading in Angular delays loading of modules until they are needed
Lazy loading helps improve performance by only loading modules when they are required
It is achieved by using the loadChildren property in the route configuration
Lazy loaded modules are loaded asynchronously when the user navigates to the corresponding route
Server-side rendering (SSR) in Angular can be enabled by using Angular Universal.
Install Angular Universal using Angular CLI
Create a new Angular Universal project
Update app.module.ts to include server-side rendering
Build and run the Angular Universal project
I applied via Naukri.com and was interviewed in Jul 2022. There were 3 interview rounds.
It was on hacker rank
It was a aptitude test taken by me of the new and all the response and the of new
I applied via Referral and was interviewed before Jul 2021. There were 2 interview rounds.
Use Fisher-Yates shuffle algorithm to play songs randomly without repetition.
Create an array of songs
Use Fisher-Yates shuffle algorithm to shuffle the array
Play the first song in the shuffled array
Remove the first song from the array
Repeat steps 3-4 until all songs have been played
Reverse a linked list
Iterate through the linked list and change the direction of the pointers
Keep track of the previous, current, and next nodes
Set the head of the linked list to the last node after reversing
Hashing algorithm to count maximum number of 1s in a 2D matrix.
Create a hash table to store the count of 1s in each row.
Traverse through each row and update the count in the hash table.
Find the row with the maximum count of 1s in the hash table.
Return the count of 1s in that row.
I applied via Recruitment Consultant and was interviewed in Jan 2021. There was 1 interview round.
I have worked on several machine learning projects, including image recognition and natural language processing.
Developed an image recognition model using convolutional neural networks
Implemented a natural language processing algorithm for sentiment analysis
Collaborated on a recommendation system using collaborative filtering
Applied machine learning techniques to predict customer churn in a telecom company
Just basic maths and it was good and I think everyone can do it!!
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