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3i Infotech Data Science Intern Interview Questions and Answers

Updated 2 Jul 2024

3i Infotech Data Science Intern Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jan 2024. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. What are the projects you have worked on?
  • Q2. What is Digital Image Processing?
  • Ans. 

    Digital Image Processing is the manipulation of digital images using algorithms to enhance, analyze, or extract information.

    • It involves techniques like image enhancement, restoration, segmentation, and compression.

    • Common applications include medical imaging, satellite imaging, facial recognition, and object detection.

    • Algorithms like edge detection, noise reduction, and image stitching are used in digital image processi...

  • Answered by AI
  • Q3. Explain OOP in Python
  • Ans. 

    OOP in Python is a programming paradigm where objects are created that contain data and methods to manipulate that data.

    • Classes are used to create objects in Python

    • Objects have attributes (data) and methods (functions)

    • Inheritance allows classes to inherit attributes and methods from other classes

    • Encapsulation allows data to be hidden and only accessed through methods

    • Polymorphism allows objects to be treated as instance

  • Answered by AI

Interview Preparation Tips

Topics to prepare for 3i Infotech Data Science Intern interview:
  • Python
  • ML Algorithms
  • NLP
  • Computer Vision
  • Generative AI

Skills evaluated in this interview

Interview questions from similar companies

I applied via Campus Placement and was interviewed in Aug 2021. There were 6 interview rounds.

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 - Aptitude Test 

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.

Round 3 - Coding Test 

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

Round 4 - Technical 

(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 be asked on data science interview
  • Q2. What is gradient descent, why does gradient descent follow tan angles and please explain and write down the formula of it.
  • Ans. 

    Gradient descent is an optimization algorithm used to minimize the cost function of a machine learning model.

    • Gradient descent is used to update the parameters of a model to minimize the cost function.

    • It follows the direction of steepest descent, which is the negative gradient of the cost function.

    • The learning rate determines the step size of the algorithm.

    • The formula for gradient descent is: theta = theta - alpha * (1/...

  • Answered by AI
Round 5 - One-on-one 

(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.
  • Ans. 

    A dictionary sorted in ascending order based on keys.

    • Create a dictionary with key-value pairs

    • Use the sorted() function to sort the dictionary based on keys

    • Convert the sorted dictionary into a list of tuples

    • Use the dict() constructor to create a new dictionary from the sorted list of tuples

  • Answered by AI
Round 6 - HR 

(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

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

I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 3 interview rounds.

Round 1 - Technical 

(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?
Round 2 - Technical 

(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
Round 3 - One-on-one 

(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
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(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
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Questions were asked related to ML modelling process
  • Q2. Basic python coding
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Sep 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. Basic Data Science concepts
Round 3 - HR 

(1 Question)

  • Q1. Basic HR round and discussion about the salary
Round 4 - Client Interview 

(1 Question)

  • Q1. Stated it was client preparation round but senior managed showed and just asked about the briefs.

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview level was moderate. Took all the documents including last 6 months bank statements after round 1 but didn't release the offer.
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Mar 2023. There were 2 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. Asked about past experience ? Information about current project ? ?
  • Q2. AWS and data science question
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Mar 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Double-check your resume for any spelling mistakes. The recruiter may consider spelling mistakes as careless behavior or poor communication skills.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. Deep dive into your DS projects and implementation. Some questions about MLOPS and cloud exposure. Basic ML questions
  • Q2. Gradient descent Linear regression Time series questions Lightgbm and xgboost
Round 3 - Technical 

(1 Question)

  • Q1. Time series question on ARIMA , ML approach to time series

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well for the projects written in resume and also have an idea on the latest development in that area .
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Aptitude, coding on python NLP

Round 2 - Group Discussion 

Python Data Frames, String list manipulation

Round 3 - HR 

(2 Questions)

  • Q1. Common discussion
  • Q2. Salary location etc

I applied via Naukri.com and was interviewed in Jun 2020. There was 1 interview round.

Interview Questionnaire 

2 Questions

  • Q1. There were two rounds of interviews. Both technical. They actually touch base every topic by asking questions out of it. First round- Python fundamental questions on data structures and operations, scenar...
  • Q2. Second round is mainly CV based project discussion. They would try to dig out on advanced concepts which could be bit mathematical. You can be honest and skip it rather than quoting it wrong.

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well and be honest. Prepare the fundamentals of Python and ML well.

3i Infotech Interview FAQs

How many rounds are there in 3i Infotech Data Science Intern interview?
3i Infotech interview process usually has 1 rounds. The most common rounds in the 3i Infotech interview process are Technical.
What are the top questions asked in 3i Infotech Data Science Intern interview?

Some of the top questions asked at the 3i Infotech Data Science Intern interview -

  1. What is Digital Image Processi...read more
  2. Explain OOP in Pyt...read more

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3i Infotech Data Science Intern Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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