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Nexus Software System Data Scientist Interview Questions and Answers

Updated 14 Feb 2024

Nexus Software System Data Scientist Interview Experiences

1 interview found

Data Scientist Interview Questions & Answers

user image Abhilasha Dimble

posted on 14 Feb 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. About project Basic ml questions
  • Q2. Working of random forest algorithm
  • Ans. 

    Random forest is an ensemble learning algorithm that combines multiple decision trees to make predictions.

    • Random forest is a supervised learning algorithm used for classification and regression tasks.

    • It creates a multitude of decision trees and combines their predictions to make a final prediction.

    • Each decision tree is trained on a random subset of the training data and features.

    • Random forest reduces overfitting by ave...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Good company

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
-
Result
No response

I applied via Recruitment Consulltant and was interviewed in May 2024. There was 1 interview round.

Round 1 - Coding Test 

Contained 3 coding question and 10 mcq on stats, ML and SQL, They asked to complete in 1hr to get shortlisted for next round. Then next round didn't happen

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected

I applied via LinkedIn

Round 1 - Coding Test 

Hackerrank statistics and dsa

Interview experience
4
Good
Difficulty level
Hard
Process Duration
6-8 weeks
Result
Not Selected

I applied via Company Website and was interviewed in May 2024. There were 3 interview rounds.

Round 1 - Assignment 

Hackerrank assignment with 2 coding and couple mullt-choice questions.

Round 2 - Case Study 

Talked to hiring manager about a system design related to computer vision.

Round 3 - Technical 

(2 Questions)

  • Q1. Design a ML model to come up with filtering choices in the website.
  • Ans. 

    Design a ML model for filtering choices on a website.

    • Collect user data on preferences and behavior

    • Use collaborative filtering or content-based filtering algorithms

    • Implement a recommendation system to suggest choices based on user data

    • Regularly update the model with new data for improved accuracy

  • Answered by AI
  • Q2. SQL question to process given tables

Skills evaluated in this interview

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
-
Result
No response

I applied via Recruitment Consulltant and was interviewed in May 2024. There was 1 interview round.

Round 1 - Coding Test 

Contained 3 coding question and 10 mcq on stats, ML and SQL, They asked to complete in 1hr to get shortlisted for next round. Then next round didn't happen

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected

I applied via LinkedIn

Round 1 - Coding Test 

Hackerrank statistics and dsa

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Related Python Questions on Data Science
  • Ans. Brush up your knowledge on pandas numpy scikitlearn
  • Answered Anonymously
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. Technical interview related to my projects and assignments
  • Q2. Difference between supervised and unsupervised learning, k means clustering, knn, SQL joins
  • Ans. 

    Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data. K-means clustering is a type of unsupervised learning algorithm. KNN is a supervised learning algorithm. SQL joins are used to combine data from multiple tables.

    • Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data

    • K-means clustering is a type of unsupervised learning...

  • Answered by AI

Skills evaluated in this interview

Nexus Software System Interview FAQs

How many rounds are there in Nexus Software System Data Scientist interview?
Nexus Software System interview process usually has 1 rounds. The most common rounds in the Nexus Software System interview process are Technical.

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Nexus Software System Data Scientist Salary
based on 10 salaries
₹4.8 L/yr - ₹7.8 L/yr
64% less than the average Data Scientist Salary in India
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