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IndusInd Bank Senior Data Scientist Interview Questions, Process, and Tips

Updated 6 Jul 2022

IndusInd Bank Senior Data Scientist Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed before Aug 2020. There were 3 interview rounds.

Interview Questionnaire 

15 Questions

  • Q1. What are the key projects you have worked on?
  • Q2. What is t-test?
  • Ans. 

    t-test is a statistical test used to determine if there is a significant difference between the means of two groups.

    • It compares the means of two groups and assesses if the difference is statistically significant.

    • It is commonly used in hypothesis testing and comparing the effectiveness of different treatments or interventions.

    • There are different types of t-tests, such as independent samples t-test and paired samples t-t...

  • Answered by AI
  • Q3. What is z-test?
  • Ans. 

    A z-test is a statistical test used to determine whether two population means are significantly different from each other.

    • It is used when the sample size is large and the population standard deviation is known.

    • The test compares the sample mean to the population mean using the z-score formula.

    • The z-score is calculated as the difference between the sample mean and population mean divided by the standard deviation.

    • If the ...

  • Answered by AI
  • Q4. What is linear regression?
  • Ans. 

    Linear regression is a statistical method used to model the relationship between two variables.

    • It assumes a linear relationship between the dependent and independent variables.

    • It is used to predict the value of the dependent variable based on the value of the independent variable.

    • It can be used for both simple and multiple regression analysis.

    • Example: predicting the price of a house based on its size or predicting the ...

  • Answered by AI
  • Q5. What is logistic regression?
  • Ans. 

    Logistic regression is a statistical method used to analyze and model the relationship between a binary dependent variable and one or more independent variables.

    • It is used to predict the probability of a binary outcome (0 or 1).

    • It is a type of regression analysis that uses a logistic function to model the relationship between the dependent and independent variables.

    • It is commonly used in machine learning and data analy...

  • Answered by AI
  • Q6. What is the formula of logistic regression?
  • Ans. 

    The formula of logistic regression is a mathematical equation used to model the relationship between a binary dependent variable and one or more independent variables.

    • The formula is: log(odds) = β0 + β1x1 + β2x2 + ... + βnxn

    • The dependent variable is transformed using the logit function to obtain the log-odds ratio.

    • The independent variables are multiplied by their respective coefficients (β) and summed up with the inter...

  • Answered by AI
  • Q7. What is the difference between logistic and linear regression?
  • Ans. 

    Logistic regression is used for binary classification, while linear regression is used for predicting continuous values.

    • Logistic regression is a classification algorithm, while linear regression is a regression algorithm.

    • Logistic regression uses a logistic function to model the probability of the binary outcome.

    • Linear regression uses a linear function to model the relationship between the independent and dependent vari...

  • Answered by AI
  • Q8. How do you measure the accuracy of a model?
  • Ans. 

    Model accuracy can be measured using metrics such as confusion matrix, ROC curve, and precision-recall curve.

    • Confusion matrix shows true positives, true negatives, false positives, and false negatives.

    • ROC curve plots true positive rate against false positive rate.

    • Precision-recall curve plots precision against recall.

    • Other metrics include accuracy, F1 score, and AUC-ROC.

    • Cross-validation can also be used to evaluate mode

  • Answered by AI
  • Q9. What is AUC-ROC curve?
  • Ans. 

    AUC-ROC curve is a graphical representation of the performance of a classification model.

    • AUC-ROC stands for Area Under the Receiver Operating Characteristic curve.

    • It is used to evaluate the performance of binary classification models.

    • The curve plots the true positive rate (sensitivity) against the false positive rate (1-specificity) at various classification thresholds.

    • AUC-ROC ranges from 0 to 1, with a higher value in...

  • Answered by AI
  • Q10. What are specificity and sensitivity?
  • Q11. What is a random forest?
  • Ans. 

    A random forest is an ensemble learning method that combines multiple decision trees to make predictions.

    • Random forest is a supervised learning algorithm.

    • It can be used for both classification and regression tasks.

    • It creates multiple decision trees and combines their predictions to make a final prediction.

    • Each decision tree is trained on a random subset of the training data and features.

    • Random forest reduces overfittin...

  • Answered by AI
  • Q12. How random forest is different from decision trees?
  • Ans. 

    Random forest is an ensemble learning method that uses multiple decision trees to improve prediction accuracy.

    • Random forest builds multiple decision trees and combines their predictions to reduce overfitting.

    • Decision trees are prone to overfitting and can be unstable, while random forest is more robust.

    • Random forest can handle missing values and categorical variables better than decision trees.

    • Example: Random forest ca...

  • Answered by AI
  • Q13. Why do you want to change your job?
  • Q14. Have you worked on any digital transformation projects?
  • Q15. Talk about any one of your key projects in detail.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be thorough with your projects. Technical concepts are an integral part of the interview if you are applying to analytics or data science positions.

Skills evaluated in this interview

Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. Explain about self introduction

I applied via Walk-in and was interviewed in Apr 2021. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. About your self

Interview Preparation Tips

Interview preparation tips for other job seekers - please select my profile
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Sep 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Basic python ,sql questions

Round 2 - Technical 

(2 Questions)

  • Q1. What is list,tuple,set,dict comprehension
  • Ans. 

    List, tuple, set, and dict comprehensions are concise ways to create these data structures in Python.

    • List comprehension: [x for x in range(10)]

    • Tuple comprehension does not exist in Python, as tuples are immutable.

    • Set comprehension: {x for x in range(10)}

    • Dict comprehension: {x: x**2 for x in range(10)}

  • Answered by AI
  • Q2. What is Dax query
  • Ans. 

    DAX (Data Analysis Expressions) is a formula language used in Power BI, Excel, and other Microsoft tools for data analysis.

    • DAX is used to create custom calculations, measures, and columns in data models.

    • It is similar to Excel formulas but optimized for data analysis.

    • DAX functions can be used to manipulate and analyze data in Power BI reports.

    • Examples of DAX functions include SUM, AVERAGE, CALCULATE, and RELATED.

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn basic fundamentals

Skills evaluated in this interview

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

(4 Questions)

  • Q1. Base on SQL and tableau
  • Q2. How join work share in detail with examples
  • Q3. How to get nth salary
  • Q4. How to delete duplicates
  • Ans. 

    To delete duplicates, use SQL query with DISTINCT keyword or remove duplicates programmatically in Python using sets.

    • Use SQL query with DISTINCT keyword to remove duplicates from a database table

    • In Python, remove duplicates from a list using sets: list(set(original_list))

    • For pandas DataFrame, drop duplicates using df.drop_duplicates()

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

(1 Question)

  • Q1. Live coding on the platform

Skills evaluated in this interview

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

I applied via Recruitment Consulltant and was interviewed in Sep 2024. There were 4 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Basic Java and react question
Round 2 - Technical 

(1 Question)

  • Q1. Little technical and project oriented question
Round 3 - Coding Test 

Basic hacker rank problem

Round 4 - CTO round 

(1 Question)

  • Q1. Asked few questions on react and java

I applied via Company Website and was interviewed in Jul 2022. There were 2 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 

General knowledge and development skills and new things..

Interview Preparation Tips

Topics to prepare for IDFC FIRST Bank Senior Software Engineer interview:
  • Software Development
  • New development
Interview preparation tips for other job seekers - I want to stand myself.. Make myself strong and more knowledgeable..
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 before Dec 2021. There were 2 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 - HR 

(2 Questions)

  • Q1. Wat do u know about sales and credit cards
  • Ans. Credit wat comes in and debit wat goes out
  • Answered Anonymously
  • Q2. Whom do u like most tha parents or job
  • Ans. When the parents r vth us that automatically the job vll be so that's y I like and love my parents
  • Answered Anonymously

Interview Preparation Tips

Interview preparation tips for other job seekers - When ur going fr an interview either it may be software MNCs or banking sector just u have to be confident that's it
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Recruitment Consulltant and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Difference between list and tuple
  • Ans. 

    List is mutable, tuple is immutable in Python.

    • List can be modified after creation, tuple cannot.

    • List uses square brackets [], tuple uses parentheses ().

    • List is used for collections of items that may change, tuple for fixed collections.

    • Example: list - [1, 2, 3], tuple - (1, 2, 3)

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

An easy coding round was conducted that involved SQL questions.

Round 2 - Aptitude Test 

An easy one-hour discussion based on the resume.

IndusInd Bank Interview FAQs

What are the top questions asked in IndusInd Bank Senior Data Scientist interview?

Some of the top questions asked at the IndusInd Bank Senior Data Scientist interview -

  1. What is the difference between logistic and linear regressi...read more
  2. How random forest is different from decision tre...read more
  3. What is the formula of logistic regressi...read more

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