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TVS Credit Data Analyst Interview Questions and Answers

Updated 2 Feb 2025

TVS Credit Data Analyst Interview Experiences

1 interview found

Data Analyst Interview Questions & Answers

user image BEVARA SRIKANTH

posted on 2 Feb 2025

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Coding test python & SQL

Round 2 - One-on-one 

(2 Questions)

  • Q1. Communication level interview
  • Q2. One to one Discussion
Round 3 - HR 

(2 Questions)

  • Q1. Python coding test
  • Q2. Communication level

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed before Oct 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Do not use an unprofessional email address such as cool_boy@email.com. It shows a lack of professionalism by the candidate.
View all Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Asked about the projects from the resume. It was based on Python. The project was stock prediction using ml. They mainly asked about the concepts used. And they also asked the equations related to data sci...
Round 3 - HR 

(1 Question)

  • Q1. I didn't qualified for this round

Interview Preparation Tips

Interview preparation tips for other job seekers - revise datascience course throughly and go through your resume projects
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

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected

I was interviewed 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
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. What is your current role ?
  • Q2. Why are you looking for a job change?
Round 2 - Technical 

(1 Question)

  • Q1. Python based list iteration, SQL join based questions
Round 3 - Behavioral 

(1 Question)

  • Q1. What are the project you have worked upon ?

Interview Preparation Tips

Interview preparation tips for other job seekers - Ensure your SQL concepts are solid especially windows functions. For python try working on list and string based manipulation along with fundamentals.
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Case Study 

Asked about a case study on whom to give a loan among 1000 customers

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. SQL Basics and Good Communication
  • Q2. Structured Profile Summary

Interview Preparation Tips

Interview preparation tips for other job seekers - My teams is focus on SQL server and referral works there
Interview experience
4
Good
Difficulty level
Easy
Process Duration
2-4 weeks
Result
-

I applied via LinkedIn and was interviewed in Nov 2022. 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 Resume tips
Round 2 - Aptitude Test 

Pandas and SQL questions and some business case

Round 3 - One-on-one 

(2 Questions)

  • Q1. The head of the vertical took interview, explained role and asked about my experience.
  • Q2. What project did you work on?
Round 4 - Technical 

(3 Questions)

  • Q1. A senior data scientist asked technical questions on my experience.
  • Q2. What is the advantage or lstm over rnn.
  • Ans. 

    LSTM has better memory retention than RNN.

    • LSTM can remember long-term dependencies better than RNN.

    • LSTM has a gating mechanism that controls the flow of information.

    • LSTM can handle vanishing gradient problem better than RNN.

    • LSTM is more suitable for tasks that require long-term memory, such as speech recognition and language translation.

  • Answered by AI
  • Q3. What is multicollinearity and what are its effects?
  • Ans. 

    Multicollinearity is a phenomenon where two or more independent variables in a regression model are highly correlated.

    • It can lead to unstable and unreliable estimates of regression coefficients.

    • It can make it difficult to determine the individual effect of each independent variable on the dependent variable.

    • It can also result in inflated standard errors and p-values, making it difficult to identify statistically signif...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
-
Result
Selected Selected
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 Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. What is Ram? What is Rom?
  • Ans. 

    RAM stands for Random Access Memory, a type of computer memory that can be accessed randomly. ROM stands for Read-Only Memory, a type of memory that stores data permanently.

    • RAM is volatile memory used by the computer to store data and program instructions temporarily.

    • ROM is non-volatile memory that stores firmware and cannot be easily modified or deleted.

    • RAM is faster but loses data when power is turned off, while ROM ...

  • Answered by AI
  • Q2. Which language understand the computer?
  • Ans. 

    Computers understand machine language, which is a set of binary codes representing instructions that the computer can execute.

    • Computers understand machine language, which consists of binary code representing instructions.

    • High-level programming languages like Python, Java, C++ are used to write code that is then translated into machine language.

    • Compilers and interpreters are used to convert high-level code into machine

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. What is the machine language?
  • Ans. 

    Machine language is the lowest-level programming language that directly corresponds to instructions executed by a computer's CPU.

    • Machine language consists of binary code representing instructions that can be executed by a computer's central processing unit (CPU)

    • It is the lowest-level programming language and is specific to the type of CPU being used

    • Machine language is difficult for humans to read and write, as it is co...

  • Answered by AI
Round 4 - Technical 

(1 Question)

  • Q1. What does BIOS works for?
  • Ans. 

    BIOS works as a firmware that initializes hardware components during the boot process of a computer.

    • BIOS stands for Basic Input/Output System

    • It is responsible for initializing and testing hardware components like the CPU, memory, and storage devices

    • BIOS also provides the necessary instructions for the operating system to boot up

    • It is stored on a ROM chip on the motherboard

  • Answered by AI

Skills evaluated in this interview

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TVS Credit Interview FAQs

How many rounds are there in TVS Credit Data Analyst interview?
TVS Credit interview process usually has 3 rounds. The most common rounds in the TVS Credit interview process are Coding Test, One-on-one Round and HR.
How to prepare for TVS Credit Data Analyst 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 Advanced Excel, Analysis, Data Analytics, Python and SQL.
What are the top questions asked in TVS Credit Data Analyst interview?

Some of the top questions asked at the TVS Credit Data Analyst interview -

  1. Communication level interv...read more
  2. One to one Discuss...read more
  3. Python coding t...read more

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TVS Credit Data Analyst Interview Process

based on 2 interviews

Interview experience

5
  
Excellent
View more
TVS Credit Data Analyst Salary
based on 12 salaries
₹5 L/yr - ₹14.2 L/yr
42% more than the average Data Analyst Salary in India
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