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TuringMinds Data Scientist Interview Questions and Answers

Updated 19 Jun 2023

TuringMinds Data Scientist Interview Experiences

6 interviews found

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

It was quite easy it's the 1:30 hr time based test with no negative marking and the total of 60 questions

Round 2 - Technical 

(3 Questions)

  • Q1. They'll ask about your family background and introduce yourself
  • Q2. What's your family income?
  • Q3. Some your engineering background questions like what DSP used in Alexa

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and don't shiver your voice be to the point
Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at Mumbai University and was interviewed in Jan 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

It was held at my college campus.
First round was aptitude test, can easily score
Second was Hr round (final)
Not a single question was asked on technical

Round 2 - HR 

(3 Questions)

  • Q1. About yourself your family background and there earnings
  • Q2. About your projects and internship
  • Q3. And the main question was whether you could take a student loan. If you say no: you are rejected. else: you are selected.

Interview Preparation Tips

Interview preparation tips for other job seekers - They will encourage you to take a M.S degree from Golden Gate University.
And will assure you that they won't fire you
They will just simply deduct monthly EMI from your salary
Will pay ₹5K for 1 year as internship stipend
But if you drop in between, it's your responsibility to repay the loan.

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Data Scientist Interview Questions & Answers

user image Sonaali Kiran

posted on 19 Jun 2023

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Nothing much basic mathematical questions

Round 2 - One-on-one 

(2 Questions)

  • Q1. Basics about ml, python , sql
  • Q2. Why are you interested in data domain
  • Ans. 

    Fascinated by the insights and patterns that can be extracted from data to drive decision-making and innovation.

    • Passionate about uncovering hidden trends and correlations in data

    • Excited about using data to solve complex problems and make informed decisions

    • Believe in the power of data-driven decision-making to drive business success

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Instagram

Round 1 - Aptitude Test 

Aptitude test regarding the maths and others

Round 2 - HR 

(2 Questions)

  • Q1. Basic technical questions Introduction
  • Q2. Loan And other questions he like

Interview Preparation Tips

Topics to prepare for TuringMinds Data Scientist interview:
  • Data Science
Interview preparation tips for other job seekers - Ok not bad .but should say yes for loan if says no he rejects

TuringMinds interview questions for designations

 Data Science

 (1)

 Data Science Intern

 (4)

 Data Science Engineer

 (1)

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

I applied via campus placement at SBCE Sree Buddha College of Engineering, Alappuzha and was interviewed in Feb 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Basic questions involving age, patterns, profit/loss, trains, boats/streams, positions

Round 2 - personnel interview 

(2 Questions)

  • Q1. Basics questions of your B.tech major
  • Q2. Questions regarding AI/ML

Interview Preparation Tips

Interview preparation tips for other job seekers - Try to be as honest with your answers and have a good knowledge of your own major.

Data Scientist Interview Questions & Answers

user image NARRA.SIVA.SAI.VAMSI KRISHNA

posted on 15 Feb 2023

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Aug 2022. There were 3 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 

Reasoning,time and distance, apptitude,paragraphs

Round 3 - HR 

(2 Questions)

  • Q1. HR will explain your role , salary, bond,company works .
  • Q2. Role salary , company rules and regulations

Interview Preparation Tips

Interview preparation tips for other job seekers - Be on point to questions, and have clear knowledge on your resume

Interview questions from similar companies

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

I was interviewed in Aug 2024.

Round 1 - Technical 

(2 Questions)

  • Q1. DFA Focus :Sorting ,Searching ,Stacks,Queues, HashMaps
  • Q2. Os & cn: Process scheduling, TCP/IP, HTTP basics
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
No response

I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.

Round 1 - One-on-one 

(3 Questions)

  • Q1. Machine learning algorithms.
  • Ans. 

    Machine learning algorithms are tools used to analyze data, identify patterns, and make predictions without being explicitly programmed.

    • Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

    • Examples of machine learning algorithms include linear regression, decision trees, support vector machines, and neural networks.

    • These algorithms require training data to learn patte...

  • Answered by AI
  • Q2. Credit risk life cycle
  • Q3. Pandas related questions
Round 2 - One-on-one 

(3 Questions)

  • Q1. Steps of developing a credit risk model
  • Ans. 

    Developing a credit risk model involves several steps to assess the likelihood of a borrower defaulting on a loan.

    • 1. Define the problem and objectives of the credit risk model.

    • 2. Gather relevant data such as credit history, income, debt-to-income ratio, etc.

    • 3. Preprocess the data by handling missing values, encoding categorical variables, and scaling features.

    • 4. Select a suitable machine learning algorithm such as logi...

  • Answered by AI
  • Q2. Pandas related questions
  • Q3. Bagging and Boosting
Round 3 - One-on-one 

(3 Questions)

  • Q1. Explain AIC and BIC
  • Ans. 

    AIC and BIC are statistical measures used for model selection in the context of regression analysis.

    • AIC (Akaike Information Criterion) is used to compare the goodness of fit of different models. It penalizes the model for the number of parameters used.

    • BIC (Bayesian Information Criterion) is similar to AIC but penalizes more heavily for the number of parameters, making it more suitable for model selection when the focus...

  • Answered by AI
  • Q2. Difference between xgboost and lightgbm
  • Ans. 

    XGBoost is a popular gradient boosting library while LightGBM is a faster and more memory-efficient alternative.

    • XGBoost is known for its accuracy and performance on structured/tabular data.

    • LightGBM is faster and more memory-efficient, making it suitable for large datasets.

    • LightGBM uses a histogram-based algorithm for splitting whereas XGBoost uses a level-wise tree growth strategy.

  • Answered by AI
  • Q3. Bagging and boosting

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Number of Duplicate words in a string
  • Ans. 

    Count the number of duplicate words in a string.

    • Split the string into words using a delimiter like space or punctuation.

    • Create a dictionary to store the count of each word.

    • Iterate through the words and increment the count in the dictionary.

    • Count the number of words with count greater than 1 as duplicates.

  • Answered by AI
  • Q2. Chunking in LLM
  • Ans. 

    Chunking in LLM refers to breaking down text into smaller chunks for better processing by the language model.

    • Chunking helps improve the efficiency of the language model by breaking down large text inputs into smaller segments.

    • It can help the model better understand the context and relationships within the text.

    • Chunking is commonly used in natural language processing tasks such as text summarization and sentiment analys

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

60 min hackerrank test,with one mysql medium difficulty question and one python medium/little hard level difficulty

Round 2 - One-on-one 

(1 Question)

  • Q1. Technical covering each topic from stats, python, ml, dl, nlp,project
Round 3 - One-on-one 

(1 Question)

  • Q1. Project-related in-depth discussion, few case scenarios, stats question

TuringMinds Interview FAQs

How many rounds are there in TuringMinds Data Scientist interview?
TuringMinds interview process usually has 3 rounds. The most common rounds in the TuringMinds interview process are Resume Shortlist, Aptitude Test and HR.
How to prepare for TuringMinds Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at TuringMinds. The most common topics and skills that interviewers at TuringMinds expect are Hadoop, Hive, Python, R and SQL.
What are the top questions asked in TuringMinds Data Scientist interview?

Some of the top questions asked at the TuringMinds Data Scientist interview -

  1. Why are you interested in data dom...read more
  2. And the main question was whether you could take a student loan. If you say no:...read more
  3. Some your engineering background questions like what DSP used in Al...read more

Tell us how to improve this page.

TuringMinds Data Scientist Interview Process

based on 8 interviews

3 Interview rounds

  • Resume Shortlist Round
  • Aptitude Test Round
  • HR Round
View more
TuringMinds Data Scientist Salary
based on 144 salaries
₹3 L/yr - ₹8 L/yr
61% less than the average Data Scientist Salary in India
View more details

TuringMinds Data Scientist Reviews and Ratings

based on 42 reviews

2.4/5

Rating in categories

2.7

Skill development

2.3

Work-life balance

2.2

Salary

2.2

Job security

2.4

Company culture

2.2

Promotions

2.4

Work satisfaction

Explore 42 Reviews and Ratings
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