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I applied via Campus Placement and was interviewed in Apr 2023. There were 3 interview rounds.
It was actually a mix of aptitude and technical. 1st round included aptitude, English, essay writing and coding questions.
2 QUESTIONS CODING QUESTIONS FOR SOLVING
REASIONING ,LOGICAL , VERBAL ,NON VERBAL ,ENGLISH , COMMUNICATION
I applied via Campus Placement and was interviewed in Oct 2023. There were 2 interview rounds.
Logical / Quants / Reasoning
Fibonacci series / Looping/ DSA
I applied via Company Website and was interviewed before Oct 2023. There were 2 interview rounds.
It was easy interview
Yes, I can remove all the pcs from the lab and keep them in another lab right now.
Ensure all the necessary equipment and tools are available for the move
Coordinate with the lab staff to ensure a smooth transition
Label and document each PC for easy identification and setup in the new lab
Ensure proper packaging and handling to prevent any damage during the move
Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones.
The first two numbers of the series are always 0 and 1
The next number is the sum of the previous two numbers
The series goes on infinitely: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, ...
Pseudo code: 1. Initialize variables a=0, b=1, c=0 2. Print a and b 3. Repeat steps 4-6 until desired number of terms 4. c=a+b 5. Pr
Algorithm for matrix multiplication
Create a result matrix with dimensions of the two input matrices
Iterate through each row and column of the result matrix
For each element in the result matrix, multiply corresponding row in first matrix with corresponding column in second matrix
Add the products obtained in the previous step to get the final value for the element
I worked on a project that involved sentiment analysis of customer reviews using Naive Bayes algorithm.
The project involved collecting customer reviews from various sources.
Preprocessing the data by removing stop words, stemming, and tokenizing.
Used Naive Bayes algorithm for sentiment analysis.
The algorithm was chosen because of its simplicity and effectiveness in text classification tasks.
The accuracy of the model was
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