Upload Button Icon Add office photos
Engaged Employer

i

This company page is being actively managed by Infogain Team. If you also belong to the team, you can get access from here

Infogain Verified Tick

Compare button icon Compare button icon Compare
3.6

based on 1k Reviews

Filter interviews by

Infogain Data Science Intern Interview Questions and Answers

Updated 4 Nov 2024

Interview questions from similar companies

Data Science Intern Interview Questions

Altimetrik user image Pavan Deepak Malla

posted on 22 Feb 2022

I applied via Campus Placement and was interviewed in Aug 2021.

6 Interview Rounds

1

Resume Shortlist Round

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
2

Aptitude Test Round

In both aptitude and coding in the second round, aptitude mostly consists of basic problems and there are some data science problems like bias, stats and probability.

3

Coding Test Round

2 coding problems the ones I got are easier didn't take more than 15 minutes to solve both of them.

4

Technical Round (2 Questions)

  • Q1. Pretty hard technical interview from formulae behind algorithms to math to algorithms touched the sight of all basic data science questions that are supposed to...read more
  • Q2. What is gradient descent, why does gradient descent follow tan angles and please explain and write down the formula of it.
5

One-on-one Round (2 Questions)

  • Q1. Managerial Technical round asked some basic level coding questions and data handling with lists, tuples, sets and dicts.
  • Q2. Please write a dictionary and try to sort it.
6

HR Round (6 Questions)

  • Q1. What is your family background?
  • Q2. Why should we hire you?
  • Q3. Where do you see yourself in 5 years?
  • Q4. Why are you looking for a change?
  • Q5. What are your strengths and weaknesses?
  • Q6. Tell me about yourself.

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through the Machine learning lectures of Andrew Ng on youtube, you could easily pass the interview if you have a grip on Andrew Ng's lectures.

Skills evaluated in this interview

I applied via campus placement at Maulana Azad National Institute of Technology (NIT), Bhopal and was interviewed before Jun 2021.

3 Interview Rounds

1

Aptitude Test Round

There are 20 Aptitude Question (time to solve these 20 question is 30 minutes). Then 10 MCQ Questions on Computer Science Fundamentals (time 10 minutes).

2

Coding Test Round

There are 5 question based on DSA 3 question of 20 marks and 2 questions of 50 marks. You need to any two question of 20 marks questions and one of 50 marks question. Total time you get to solve these question is 60 minutes.

3

Technical Round (4 Questions)

  • Q1. Get Second highest element from an array (duplicates elements are allowed). Required T.C-->O(N) Single traversal. S.C--->O(1)
  • Q2. Sort nearly sortes array.
  • Q3. Coffiecent of x^7 in equation ? y=(x^101-1)(x^100+1)(x^99-1)...........................................(X^0+1)
  • Q4. Some more probabilty and statistic questions exactly didn't remember.

Interview Preparation Tips

Topics to prepare for Tiger Analytics Data Science Intern interview:
  • Mathematics
  • Statistics
  • DSA
Interview preparation tips for other job seekers - Be confident.
Don't fake anything in your resume.
Think aloud.
Think twice code once.

Skills evaluated in this interview

Interview experience
5
 Excellent
Difficulty level
 Moderate
Duration
 2-4 weeks
Result
Selected  Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2024.

3 Interview Rounds

1

Technical Round (2 Questions)

  • Q1. What are the key topics related to Generative AI, specifically focusing on Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)?
  • Q2. What is your understanding of the existing project and the technology stacks used?
2

Technical Round (3 Questions)

  • Q1. What has been your contribution to existing work and the technologies used in that context?
  • Q2. ML, DL, Gen AI implementation and flow
  • Q3. Python Coding logic and semantics
3

One-on-one Round (2 Questions)

  • Q1. What are the existing work challenges you face, and what solutions have you implemented to address them?
  • Q2. What is your understanding of Generative AI and Natural Language Processing (NLP), and can you provide examples of their use cases?

Interview Preparation Tips

Interview preparation tips for other job seekers - Genuinely communicate your skills and contributions.
Interview experience
3
 Average
Difficulty level
 -
Duration
 -
Result
 -

1 Interview Round

1

One-on-one Round (3 Questions)

  • Q1. Questions around the previous work
  • Q2. Questions around how re-rank work, and image segmentation,
  • Q3. Questions with podman and docker

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare your profile and brush up your knowledge
Interview experience
4
 Good
Difficulty level
 -
Duration
 -
Result
Selected  Selected

I applied via Naukri.com

3 Interview Rounds

1

Coding Test Round

AWS and Python, basic Machine learning questions

2

Coding Test Round

Python, project description, AWS, in build package

3

Case Study Round

Basic Machine learning data science

Interview experience
5
 Excellent
Difficulty level
 -
Duration
 -
Result
 -

1 Interview Round

1

Technical Round (2 Questions)

  • Q1. Questions were asked related to ML modelling process
  • Q2. Basic python coding
Interview experience
4
 Good
Difficulty level
 Moderate
Duration
 Less than 2 weeks
Result
 Not Selected

I applied via Recruitment Consulltant and was interviewed in Nov 2023.

1 Interview Round

1

Technical Round (2 Questions)

  • Q1. What is Transformers and how they work
  • Q2. How to train a model with imbalance data

Skills evaluated in this interview

Interview experience
2
 Poor
Difficulty level
 Moderate
Duration
 Less than 2 weeks
Result
Selected  Selected

I applied via Job Portal and was interviewed before Nov 2023.

2 Interview Rounds

1

Coding Test Round

Write a code for Factorial series

2

Technical Round (2 Questions)

  • Q1. Deep learning related
  • Q2. Maximum GenAI Based question

Data Scientist Interview Questions

Incedo user image Anonymous

posted on 28 Jun 2024

Interview experience
3
 Average
Difficulty level
 -
Duration
 -
Result
 -

I applied via Campus Placement

2 Interview Rounds

1

Coding Test Round

Test+2 interviews(technical and statistics)

2

Case Study Round

Basic guestimates and case studies

Interview Preparation Tips

Interview preparation tips for other job seekers - Study hard

Infogain Interview FAQs

How many rounds are there in Infogain Data Science Intern interview?
Infogain interview process usually has 2 rounds. The most common rounds in the Infogain interview process are Group Discussion and Coding Test.

Tell us how to improve this page.

Software Engineer
1.4k salaries
unlock blur

₹2.8 L/yr - ₹11 L/yr

Development Consultant
795 salaries
unlock blur

₹5.5 L/yr - ₹21 L/yr

Technical Lead
538 salaries
unlock blur

₹11 L/yr - ₹38 L/yr

Consultant
466 salaries
unlock blur

₹5.5 L/yr - ₹20 L/yr

Senior Consultant
369 salaries
unlock blur

₹8 L/yr - ₹28 L/yr

Explore more salaries
Compare Infogain with

TCS

3.7
Compare

Wipro

3.7
Compare

HCLTech

3.5
Compare

Tech Mahindra

3.6
Compare

Calculate your in-hand salary

Confused about how your in-hand salary is calculated? Enter your annual salary (CTC) and get your in-hand salary
Did you find this page helpful?
Yes No
write
Share an Interview