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TuringMinds Data Science Intern Interview Questions and Answers

Updated 18 Jun 2024

TuringMinds Data Science Intern Interview Experiences

4 interviews found

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

I applied via Campus Placement and was interviewed in May 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Basic questions that can be solved

Round 2 - HR 

(2 Questions)

  • Q1. Tell me about your self
  • Q2. Famly background

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't join if they try to take loan on behalf of you. and they offer higher studies M.S in California
Interview experience
3
Average
Difficulty level
Easy
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Mar 2023. There were 4 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 - Aptitude Test 

It was simple aptitude test consisting topics like algebra, English, logical reasoning

Round 3 - Technical 

(2 Questions)

  • Q1. Basic coding questions and whatever is in your resume
  • Q2. What is the difference between call by reference and call by value
  • Ans. 

    Call by value passes a copy of the value while call by reference passes the address of the value.

    • Call by value passes a copy of the value while call by reference passes the address of the value.

    • Call by value does not modify the original value while call by reference can modify the original value.

    • Call by value is used for simple data types while call by reference is used for complex data types.

  • Answered by AI
Round 4 - HR 

(2 Questions)

  • Q1. Basic questions about future goals and your willingness to work for them
  • Q2. Why do you want to pursue data science
  • Ans. 

    I want to pursue data science because of my passion for analyzing and interpreting data to solve complex problems.

    • I enjoy working with data and finding patterns and insights

    • I want to use my skills to help businesses make data-driven decisions

    • Data science is a rapidly growing field with endless opportunities

    • I have experience in programming and statistics, which are essential skills for data science

    • For example, I have wo...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - just study statistics and study a bit about data visualization tools.

Skills evaluated in this interview

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Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
Selected Selected

I appeared for an interview in Sep 2022.

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 

It was basic aptitude test it's not that hard

Round 3 - HR 

(2 Questions)

  • Q1. Why do you want this job
  • Q2. Where do you see yourself

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident don't get hesitate and try to communicate properly

Data Science Intern Interview Questions & Answers

user image Sandhya Sri Mangam

posted on 31 Jan 2024

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

I applied via Campus Placement and was interviewed before Jan 2023. There were 2 interview rounds.

Round 1 - Group Discussion 

Written test with English and numerical aptitude

Round 2 - One-on-one 

(1 Question)

  • Q1. Basic details and some technical questions

TuringMinds interview questions for designations

 Data Science

 (1)

 Data Science Engineer

 (1)

 Data Scientist

 (6)

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview in Dec 2023.

Round 1 - Aptitude Test 

English, number system, grammar

Round 2 - Coding Test 

Python , data science, machine learning

Round 3 - Assignment 

Python machine learning, natural language precossing

Round 4 - HR 

(4 Questions)

  • Q1. Python , Data Science, SQL
  • Q2. What is python basics, libraries
  • Ans. 

    Python basics include syntax, data types, and control structures. Libraries like NumPy, Pandas, and Matplotlib enhance data analysis and visualization.

    • Python basics cover syntax, variables, data types, and control structures.

    • NumPy is a library for numerical computing, providing powerful array operations.

    • Pandas is a library for data manipulation and analysis, offering data structures like DataFrames.

    • Matplotlib is a libr...

  • Answered by AI
  • Q3. Data science algorithms , and theory
  • Q4. Sql querys, cluases
Round 5 - Group Discussion 

Indian environment, village, college days

Round 6 - HR 

(1 Question)

  • Q1. Python, data science
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Technical 

(1 Question)

  • Q1. ML and deep learning questions
Round 2 - Interview 

(2 Questions)

  • Q1. Projects discussion
  • Q2. Chatgpt architecture
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - One-on-one 

(3 Questions)

  • Q1. What are Large Language Models?
  • Ans. 

    Large Language Models are advanced AI models that can generate human-like text based on input data.

    • Large Language Models use deep learning techniques to understand and generate text.

    • Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).

    • They are trained on vast amounts of text data to improve their language generation capabilities.

  • Answered by AI
  • Q2. Do you know about RAGs?
  • Ans. 

    RAGs stands for Red, Amber, Green. It is a project management tool used to visually indicate the status of tasks or projects.

    • RAGs is commonly used in project management to quickly communicate the status of tasks or projects.

    • Red typically indicates tasks or projects that are behind schedule or at risk.

    • Amber signifies tasks or projects that are on track but may require attention.

    • Green represents tasks or projects that ar...

  • Answered by AI
  • Q3. Which is the best clustering algorithm?
  • Ans. 

    There is no one-size-fits-all answer as the best clustering algorithm depends on the specific dataset and goals.

    • The best clustering algorithm depends on the dataset characteristics such as size, dimensionality, and noise level.

    • K-means is popular for its simplicity and efficiency, but may not perform well on non-linear data.

    • DBSCAN is good for clusters of varying shapes and sizes, but may struggle with high-dimensional d...

  • Answered by AI

Skills evaluated in this interview

Round 1 - Technical 

(1 Question)

  • Q1. Basic python and machine learning questions
Round 2 - HR 

(1 Question)

  • Q1. Salary expectation and working location related questions and why you want to join wipro

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on basic python and machine learning
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Some basic aptitude questions were asked , but had to be solved in 20 minutes

Round 2 - Coding Test 

Medium level 2 leet code questions were asked and i cleared both

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Dec 2023. There was 1 interview round.

Round 1 - HR 

(3 Questions)

  • Q1. How many working days
  • Q2. Company give another benefit
  • Q3. Work load is high or low

TuringMinds Interview FAQs

How many rounds are there in TuringMinds Data Science Intern interview?
TuringMinds interview process usually has 2-3 rounds. The most common rounds in the TuringMinds interview process are Aptitude Test, HR and Resume Shortlist.
What are the top questions asked in TuringMinds Data Science Intern interview?

Some of the top questions asked at the TuringMinds Data Science Intern interview -

  1. what is the difference between call by reference and call by va...read more
  2. Why do you want to pursue data scie...read more
  3. basic coding questions and whatever is in your res...read more

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TuringMinds Data Science Intern Interview Process

based on 4 interviews

Interview experience

3
  
Average
View more
TuringMinds Data Science Intern Salary
based on 7 salaries
₹2 L/yr - ₹6 L/yr
36% more than the average Data Science Intern Salary in India
View more details

TuringMinds Data Science Intern Reviews and Ratings

based on 6 reviews

1.6/5

Rating in categories

1.8

Skill development

1.0

Work-life balance

1.2

Salary

1.0

Job security

1.2

Company culture

1.0

Promotions

1.4

Work satisfaction

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