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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 experience
3
Average
Difficulty level
Hard
Process Duration
2-4 weeks
Result
No response

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(3 Questions)

  • Q1. Explain Sigmoid Function
  • Ans. 

    Sigmoid function is a mathematical function that maps any real value to a value between 0 and 1.

    • Sigmoid function is commonly used in machine learning for binary classification problems.

    • It is defined as f(x) = 1 / (1 + e^(-x)), where e is the base of the natural logarithm.

    • The output of the sigmoid function is always in the range (0, 1).

    • It is used to convert a continuous input into a probability value.

    • Example: f(0) = 0.5

  • Answered by AI
  • Q2. What is a T-test in logistic regression
  • Ans. 

    A T-test in logistic regression is used to determine the significance of individual predictor variables.

    • T-test in logistic regression is used to test the significance of individual coefficients of predictor variables.

    • It helps in determining whether a particular predictor variable has a significant impact on the outcome variable.

    • The null hypothesis in a T-test for logistic regression is that the coefficient of the predi...

  • Answered by AI
  • Q3. How to fit model to an unexplored market
  • Ans. 

    To fit a model to an unexplored market, conduct thorough market research, gather relevant data, identify key variables, test different models, and continuously iterate and refine the model.

    • Conduct thorough market research to understand the dynamics of the unexplored market

    • Gather relevant data on customer behavior, market trends, competition, etc.

    • Identify key variables that may impact the market and model outcomes

    • Test d...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for IDFC FIRST Bank Data Scientist interview:
  • Logistic Regression
  • Banking

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
No response
Round 1 - Coding Test 

Find second max in list, cal moving avg of a df

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

(1 Question)

  • Q1. Focus was on SQL, projects done so far, Machine Learning and Stats
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Explain about how recommendation engine work
  • Ans. 

    Recommendation engines analyze user data to suggest items based on preferences and behavior.

    • Recommendation engines use collaborative filtering to suggest items based on user behavior and preferences.

    • They can also use content-based filtering to recommend items similar to ones the user has liked in the past.

    • Some recommendation engines combine both collaborative and content-based filtering for more accurate suggestions.

    • Ex...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - Aptitude Test 

Aptitude test for about an hour.

Round 2 - One-on-one 

(2 Questions)

  • Q1. Questions related to data science were asked based on your resume. Puzzles were asked too. Mostly they were from gfg.
  • Q2. What are parameters used in a random forest.
  • Ans. 

    Parameters used in a random forest include number of trees, maximum depth of trees, minimum samples split, and maximum features.

    • Number of trees: The number of decision trees to be used in the random forest.

    • Maximum depth of trees: The maximum depth allowed for each decision tree.

    • Minimum samples split: The minimum number of samples required to split a node.

    • Maximum features: The maximum number of features to consider when

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I was interviewed in Jan 2024.

Round 1 - Technical 

(1 Question)

  • Q1. Machine learning questions
Round 2 - Assignment 

Project Discussion on Eye flue detection

Interview Preparation Tips

Interview preparation tips for other job seekers - Clear basic concepts of ml ops
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via campus placement at Indian Institute of Technology (IIT), Kharagpur 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 - Aptitude Test 

Hard level aptitude questions... Time taking sums

Round 3 - Technical 

(2 Questions)

  • Q1. Puzzles and probability questions
  • Q2. Asking completely about data science projects in your resume
Round 4 - HR 

(2 Questions)

  • Q1. Just asked some puzzle questions
  • Q2. Asked if iam willing to relocate and about my family

Interview Preparation Tips

Topics to prepare for IDFC FIRST Bank Data Scientist interview:
  • Data Science
Interview preparation tips for other job seekers - Be strong on your resume and probability questions also with puzzles

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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