Evertz Microsystems Data Science Intern Interview Questions and Answers

Q1. PERVIOUS EXPERIENCE AND PROJECT RELATED
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Q2. STRENGTH AND WEAKNESS
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Q3. WHY YOU APPLIED FOR THIS JOB
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Q4. WHAT ARE THE KEY INSIGHTS IN YOUR PROJECT
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VISUALIZATION CASE STUDY

Q1. RELATED TO TECHINCAL SKILLS - TABLEAU ,ALLTERYX
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Q1. Discussion regarding expectations
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Q1. Ai and networks
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Q1. Joining and stripend negotiations
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Q1. Sales pitch for the product
Ans. 
Our product is a revolutionary software that streamlines sales processes and boosts productivity.
• Increase sales efficiency by automating repetitive tasks

• Improve customer engagement with personalized communication

• Track sales performance with real-time analytics

• Easy integration with existing CRM systems

• Cost-effective solution for small and large businesses
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Q1. What metrics can be used to evaluate the performance of a regression model?
Ans. 
Various metrics like Mean Squared Error, R-squared, Mean Absolute Error can be used to evaluate regression model performance.
• Mean Squared Error (MSE) - measures the average of the squares of the errors or deviations

• R-squared (R2) - indicates the proportion of the variance in the dependent variable that is predictable from the independent variables

• Mean Absolute Error (MAE) - measures the average of the absolute errors b...read more
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Q2. What methods can be used to remove a specific type of noise from an image?
Ans. 
Methods like median filtering, Gaussian filtering, and wavelet denoising can be used to remove noise from an image.
• Median filtering replaces each pixel's value with the median value of its neighborhood.

• Gaussian filtering uses a weighted average of neighboring pixels to smooth out noise.

• Wavelet denoising decomposes the image into different frequency bands and removes noise from each band separately.
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Machine learning-based problem.

Q1. Discussion on past experience
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Q1. Discussion on my past experience then question comes based on the discussion.
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Round duration - 30. minutes
Round difficulty - Easy

It was in the evening, question were moderate

Q1. 
Count Subsequences Problem Statement
Given an integer array ARR of size N, your task is to find the total number of subsequences in which all elements are equal.
Explanation:
A subsequence of an array i...read more
Ans. 
Count the total number of subsequences in which all elements are equal in an integer array.
• Iterate through the array and count the frequency of each element.

• Calculate the total number of subsequences for each element using the formula (frequency * (frequency + 1) / 2).

• Sum up the total number of subsequences for all elements and return the result modulo 10^9 + 7.
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Round duration - 30 minutes
Round difficulty - Easy

It was in the night around 9:00 PM.

Q1. 
Pair Sum Problem Statement
You are given an integer array 'ARR' of size 'N' and an integer 'S'. Your task is to find and return a list of all pairs of elements where each sum of a pair equals 'S'.
Note:
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Ans. 
Given an array and a target sum, find all pairs of elements that add up to the target sum.
• Iterate through the array and for each element, check if the complement (target sum - current element) exists in a hash set.

• If the complement exists, add the pair to the result list.

• Sort the pairs based on the first element and then the second element.

• Return the list of pairs as the final result.
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Q1. Salary expectation .
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Q2. Why should I hire you?
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Q1. Mendix Advanced questions.
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Q2. Everything which you mentioned in your resume.
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Q1. General questions
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Q2. Related to work profile
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