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TVS Credit Data Scientist Interview Questions and Answers

Updated 2 Jul 2024

TVS Credit Data Scientist Interview Experiences

1 interview found

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

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

Round 1 - Aptitude Test 

Questions on Prob Stats, ML

Round 2 - One-on-one 

(2 Questions)

  • Q1. Models you have worked on
  • Q2. Internship Experience

Interview questions from similar companies

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

(2 Questions)

  • Q1. Common ways to evaluate Time Series model
  • Ans. 

    Common ways to evaluate Time Series model include AIC, BIC, RMSE, MAE, ACF, PACF, etc.

    • Use Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) to compare models

    • Calculate Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) to assess model accuracy

    • Analyze Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) to check for autocorrelation in residuals

  • Answered by AI
  • Q2. Best ways to handle multicollinearity
  • Ans. 

    Use techniques like feature selection, regularization, PCA, and VIF to handle multicollinearity.

    • Perform feature selection to choose the most relevant variables for the model.

    • Apply regularization techniques like Lasso or Ridge regression to penalize high coefficients.

    • Utilize Principal Component Analysis (PCA) to reduce dimensionality and decorrelate variables.

    • Check for Variance Inflation Factor (VIF) to identify highly

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Write a function taking input as string and output a dictionary which will give key as characters in these string and values as their frequency of occurrence
  • Q2. TF IDF in NLP
  • Ans. 

    TF IDF is a technique used in NLP to measure the importance of a word in a document within a collection of documents.

    • TF IDF stands for Term Frequency-Inverse Document Frequency.

    • It is used to determine how important a word is in a document relative to a collection of documents.

    • TF IDF is calculated by multiplying the term frequency (TF) of a word in a document by the inverse document frequency (IDF) of the word across al...

  • Answered by AI

Skills evaluated in this interview

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

Create data frame, make histogram

Interview Preparation Tips

Interview preparation tips for other job seekers - Logistic regression
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Nov 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Multiple Choice Questions

Round 2 - HR 

(1 Question)

  • Q1. Why do you want to join us

Interview Preparation Tips

Interview preparation tips for other job seekers - Very good company
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Naaaghuuiii hgdtyhb uii7yfghh uyddbkiydd
  • Q2. NAahjuutyijhg guihhftu dfyikhh fujgx
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What is life like
  • Q2. What did your dad do

Interview Preparation Tips

Interview preparation tips for other job seekers - dont eat
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected

I appeared for an interview in Feb 2024.

Round 1 - Coding Test 

1 hour coding test on intermediate python programming

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well on cloud-based technologies
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. It was more related to my projects
  • Q2. Asked questions on PCA,KNN and Elbow method .
Round 2 - Technical 

(2 Questions)

  • Q1. Asked SVM and Logistic regression, their applications and real life uses
  • Q2. Matrix formation of a knockout Tournament
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Oct 2024. There were 3 interview rounds.

Round 1 - Aptitude Test 

Asked questions of finance and aptitude

Round 2 - One-on-one 

(3 Questions)

  • Q1. What is machine learning?
  • Ans. 

    Machine learning is a branch of artificial intelligence that involves developing algorithms and models that enable computers to learn from and make predictions or decisions based on data.

    • Machine learning is a subset of artificial intelligence that focuses on developing algorithms that can learn from and make predictions or decisions based on data.

    • It involves training models on large datasets to recognize patterns and m...

  • Answered by AI
  • Q2. What do you know about SQL?
  • Ans. 

    SQL is a programming language used for managing and manipulating relational databases.

    • SQL stands for Structured Query Language

    • It is used to retrieve and manipulate data in relational databases

    • Common SQL commands include SELECT, INSERT, UPDATE, DELETE

    • SQL can be used to create tables, indexes, and views

    • Examples of SQL databases include MySQL, PostgreSQL, Oracle

  • Answered by AI
  • Q3. What you know about software Development?
  • Ans. 

    Software development involves creating, designing, testing, and maintaining software applications.

    • Software development includes coding, testing, debugging, and documenting software applications.

    • Developers use programming languages like Java, Python, C++, etc. to write code.

    • Agile and Waterfall are common software development methodologies.

    • Version control systems like Git are used to manage code changes.

    • Software developm...

  • Answered by AI
Round 3 - One-on-one 

(2 Questions)

  • Q1. What are the algorithms you know in machine learning and their details ?
  • Ans. 

    Various machine learning algorithms with brief details

    • Supervised Learning: Linear Regression, Logistic Regression, Support Vector Machines (SVM), Decision Trees, Random Forest

    • Unsupervised Learning: K-means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA)

    • Reinforcement Learning: Q-Learning, Deep Q-Networks (DQN)

    • Neural Networks: Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), L

  • Answered by AI
  • Q2. Python questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare Python and ML well.

Skills evaluated in this interview

I applied via Company Website and was interviewed before Jun 2020. There was 1 interview round.

Interview Questionnaire 

3 Questions

  • Q1. HE or LAP kya hai define karo
  • Q2. Marketing kese karoge
  • Q3. Aap aavas finance ke bare me kya jante ho.

Interview Preparation Tips

Interview preparation tips for other job seekers - Wonderful

TVS Credit Interview FAQs

How many rounds are there in TVS Credit Data Scientist interview?
TVS Credit interview process usually has 2 rounds. The most common rounds in the TVS Credit interview process are Aptitude Test and One-on-one Round.
How to prepare for TVS Credit 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 TVS Credit. The most common topics and skills that interviewers at TVS Credit expect are Algorithms, Analytics, Data Analytics, Data Management and Data Science.

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TVS Credit Data Scientist Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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TVS Credit Data Scientist Salary
based on 54 salaries
₹7.5 L/yr - ₹17 L/yr
18% less than the average Data Scientist Salary in India
View more details

TVS Credit Data Scientist Reviews and Ratings

based on 8 reviews

3.7/5

Rating in categories

3.3

Skill development

4.0

Work-life balance

3.1

Salary

3.7

Job security

3.5

Company culture

2.7

Promotions

3.0

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