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Welspun Living Limited Data Scientist Interview Questions and Answers

Updated 14 Feb 2024

Welspun Living Limited Data Scientist Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.

Round 1 - Technical 

(4 Questions)

  • Q1. Difference between Tuple and Dictionary
  • Ans. 

    Tuple is an ordered collection of elements, while a dictionary is an unordered collection of key-value pairs.

    • Tuples are immutable, while dictionaries are mutable.

    • Tuples are accessed using indexing, while dictionaries are accessed using keys.

    • Tuples are typically used to store related pieces of data, while dictionaries are used for mapping and lookups.

  • Answered by AI
  • Q2. What is Adjusted R square
  • Ans. 

    Adjusted R square is a statistical measure that represents the proportion of variance in the dependent variable accounted for by the independent variables.

    • Adjusted R square is an extension of R square, which measures the goodness of fit of a regression model.

    • It takes into account the number of predictors in the model and adjusts for the degrees of freedom.

    • Adjusted R square ranges from 0 to 1, where a higher value indic...

  • Answered by AI
  • Q3. Which is better Random forest or XG Boost
  • Ans. 

    Both Random Forest and XG Boost are powerful machine learning algorithms, but their performance depends on the specific problem and data.

    • Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.

    • It is known for its ability to handle high-dimensional data and maintain good performance even with noisy or missing data.

    • XG Boost, on the other hand, is a gradient boosting algorith...

  • Answered by AI
  • Q4. What is Max pooling
  • Ans. 

    Max pooling is a pooling operation that selects the maximum value from a region of the input data.

    • Max pooling is commonly used in convolutional neural networks (CNNs) for feature extraction.

    • It reduces the spatial dimensions of the input data while retaining the most important features.

    • Max pooling helps in achieving translation invariance, making the model more robust to variations in input position.

    • For example, in a 2x...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. Questions on cloud computing

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare well for python, it is 50-50% ratio of python questions and algorithims

Skills evaluated in this interview

Top trending discussions

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Interview Tips & Stories
2w (edited)
a team lead
Why are women still asked such personal questions in interview?
I recently went for an interview… and honestly, m still trying to process what just happened. Instead of being asked about my skills, experience, or how I could add value to the company… the questions took a totally unexpected turn. The interviewer started asking things like When are you getting married? Are you engaged? And m sure, if I had said I was married, the next question would’ve been How long have you been married? What does my personal life have to do with the job m applying for? This is where I felt the gender discrimination hit hard. These types of questions are so casually thrown at women during interviews but are they ever asked to men? No one asks male candidates if they’re planning a wedding or how old their kids are. So why is it okay to ask women? Can we please stop normalising this kind of behaviour in interviews? Our careers shouldn’t be judged by our relationship status. Period.
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Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is supervised learning
  • Ans. 

    Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.

    • Uses labeled training data to learn the mapping between input and output variables

    • The model is trained on a dataset where the correct output is known

    • Examples include classification and regression tasks

  • Answered by AI
  • Q2. What is overfitting
  • Ans. 

    Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.

    • Overfitting happens when a model is too complex and captures noise in the training data.

    • It leads to poor generalization on new, unseen data.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • Example: A decision tree with too many branches that perfectly fits the training d...

  • Answered by AI

Skills evaluated in this interview

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I appeared for an interview in Nov 2020.

Interview Questionnaire 

2 Questions

  • Q1. How the job will be online?
  • Q2. How the shift matter's?

Interview Preparation Tips

Interview preparation tips for other job seekers - There Will be three types of interviews:speed and accuracy, return test and face to face.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. All process in material received & issued and report preparing
  • Q2. Same question. Process received material and issue

Interview Preparation Tips

Topics to prepare for Vardhman Fabrics Associate interview:
  • Invoice Processing
  • MRN
  • Logistics
  • Taxation
Interview preparation tips for other job seekers - Preparing gst and itc knowledge.
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Group Discussion 

Artificial intelligence

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Case Study 

Cas study on books library data

Round 2 - Technical 

(1 Question)

  • Q1. Basics of spark Discussion on case study approach SQL question on windows function

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on basics
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Dec 2022. There were 4 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 - Technical 

(1 Question)

  • Q1. SQL basics and coding questions
Round 3 - Technical 

(1 Question)

  • Q1. Data Science mathematical concepts
Round 4 - HR 

(1 Question)

  • Q1. Why do you want to join

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare the basics of Data Science and Engineering.
Are these interview questions helpful?
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I appeared for an interview in Jan 2025.

Round 1 - Assignment 

Basic and general test

Round 2 - Aptitude Test 

Testing common questions of aptitude

Round 3 - HR 

(2 Questions)

  • Q1. Basic details like education and all
  • Q2. Basics question related to field of prior experience

Interview Questionnaire 

3 Questions

  • Q1. Can you tell me about yourself
  • Q2. Your Expected Salary
  • Q3. Explan your Retail sector Exp
  • Ans. 

    I have extensive experience in the retail sector, including managing teams, driving sales, and ensuring excellent customer service.

    • Managed a team of 15 sales associates, providing guidance and support to achieve sales targets

    • Implemented strategies to increase customer satisfaction, resulting in a 20% improvement in customer feedback ratings

    • Developed and executed promotional campaigns to drive foot traffic and boost sal...

  • Answered by AI

I applied via Walk-in and was interviewed before Sep 2021. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Tell me about yourself, Why we hire you, your current profile at last company
  • Ans. 

    Dynamic professional with extensive experience in management, team leadership, and strategic planning, ready to drive success in your organization.

    • Over 5 years of experience in management roles, leading teams to exceed performance targets.

    • Successfully implemented a new project management system that improved efficiency by 30%.

    • Strong communication skills, fostering collaboration among cross-functional teams.

    • Proven track...

  • Answered by AI
Round 2 - Assignment 

Process of purchase, roles and responsibilities of purchaser

Interview Preparation Tips

Interview preparation tips for other job seekers - Good company, workplace good, Nice environment

Welspun Living Limited Interview FAQs

How many rounds are there in Welspun Living Limited Data Scientist interview?
Welspun Living Limited interview process usually has 2 rounds. The most common rounds in the Welspun Living Limited interview process are Technical.
How to prepare for Welspun Living Limited 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 Welspun Living Limited. The most common topics and skills that interviewers at Welspun Living Limited expect are Machine Learning, Pyspark, SCADA, Analytics and Big Data.
What are the top questions asked in Welspun Living Limited Data Scientist interview?

Some of the top questions asked at the Welspun Living Limited Data Scientist interview -

  1. Which is better Random forest or XG Bo...read more
  2. What is Adjusted R squ...read more
  3. Difference between Tuple and Diction...read more

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Overall Interview Experience Rating

4/5

based on 1 interview experience

Difficulty level

Hard 100%

Duration

Less than 2 weeks 100%
View more

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