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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

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

I appeared for an interview before Jun 2016.

Interview Questionnaire 

6 Questions

  • Q1. Tell me about yourself from the day u were born till today (Stopped mid way when I mentioned the finance course)
  • Q2. What is a Brownian motion? Properties of Brownian motion?
  • Ans. 

    Brownian motion is the random motion of particles in a fluid due to collisions with other particles.

    • Brownian motion was first observed by Robert Brown in 1827.

    • It is named after the botanist Robert Brown.

    • The motion is caused by the random movement of fluid molecules.

    • Brownian motion is a continuous-time stochastic process.

    • It is often used to model various phenomena in physics, finance, and biology.

    • Properties of Brownian ...

  • Answered by AI
  • Q3. What is a Martingale? What are Markov Processes? Is Martingale a Markov Process? Are Markov Processes Martingales?
  • Ans. 

    A Martingale is a mathematical concept used in probability theory and statistics. Markov Processes are stochastic processes that satisfy the Markov property.

    • A Martingale is a sequence of random variables where the expected value of the next variable, given the current and past variables, is equal to the current variable.

    • Markov Processes are stochastic processes where the future state depends only on the current state a...

  • Answered by AI
  • Q4. Then the HR guy asked me One trait of mine that I’m not proud of?
  • Q5. Then there was a puzzle m2 = n2 + 32294 ( It was also asked in last year’s interview)
  • Q6. Then there was another HR question, In a group would it be better for me to assume a leadership position or simply be a part of it? Why?

Interview Preparation Tips

Round: Test
Experience: The Maths section had questions on basic probability and statistics. Also the Maths section had a higher weight age than the other sections (Questions carrying 3 marks each while other sections had 1 or 2 marks for each question. They were here, offering a quant profile so that justifies the distribution.) The DI/Quant (2 marks each) and English (1 Mark Each) section were similar to CAT. The finance section had questions on Basic Accounting. Anyone who did well in the Maths section could find his name in the shortlist.

Round: Technical + HR Interview
Experience: Possible Lapses: I

I appeared for an interview before May 2016.

Interview Preparation Tips

Round: Written Test
Experience: I attended interview at hyderabad location for java Sr.Software Engineer.
1Q) Find out given string palindrome or not.
Ex: madam
2Q) Find first and last index searching number in a array.
Ex: [1,2,3,3,3,3,4,5]
Output : 2,5
3Q) Arrange Strings in alphabetical order.

Tips: Prepare numeric and string related algorithms

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

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

Round 1 - Technical 

(3 Questions)

  • Q1. Sas proc format
  • Q2. How have you debug macros
  • Ans. 

    I have debugged macros by reviewing code, checking for errors, using print statements, and stepping through code.

    • Reviewing the macro code line by line to identify any syntax errors or logical mistakes

    • Using print statements to output variable values and check for unexpected results

    • Stepping through the code using a debugger tool to track the flow of execution and pinpoint issues

    • Testing the macro with different inputs to

  • Answered by AI
  • Q3. How big data handled by you
  • Ans. 

    I handle big data by using advanced analytics tools and techniques to extract valuable insights.

    • Utilize data visualization tools like Tableau or Power BI to analyze and present data

    • Use programming languages like Python or R for data manipulation and statistical analysis

    • Implement machine learning algorithms to uncover patterns and trends in large datasets

    • Leverage cloud computing platforms like AWS or Google Cloud for sc...

  • Answered by AI

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Tell me about your self
  • Ans. 

    I am a dedicated and experienced professional with a strong background in project management and team leadership.

    • Over 8 years of experience in project management

    • Successfully led cross-functional teams to deliver projects on time and within budget

    • Strong communication and interpersonal skills

    • Proven track record of achieving targets and exceeding expectations

  • Answered by AI
  • Q2. Personal details
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
-

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

Round 1 - HR 

(1 Question)

  • Q1. How do you match our values?
  • Ans. 

    I match your values through my commitment to integrity, teamwork, and continuous improvement.

    • I prioritize honesty and transparency in all data analysis processes.

    • I value collaboration and actively seek input from team members to enhance project outcomes.

    • I am dedicated to ongoing learning and skill development to stay current in the field.

    • I strive for excellence in all tasks and take pride in delivering high-quality wor...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. Give example of a data science project you worked on
  • Ans. 

    Developed a predictive model to forecast customer churn for a telecommunications company

    • Collected and cleaned customer data including demographics, usage patterns, and customer service interactions

    • Performed exploratory data analysis to identify key factors influencing customer churn

    • Built a machine learning model using logistic regression to predict likelihood of customer churn

    • Evaluated model performance using metrics s...

  • Answered by AI

Skills evaluated in this interview

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

I applied via Referral and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - Case Study 

Was asking to solve case study based on Python, find the relevant insights

I applied via Naukri.com and was interviewed in Oct 2021. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Java concepts
  • Q2. Selenium, GIT, CI/CD

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview was bit easy. Prepare for Java concepts and CI/CD
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Mar 2022. There were 3 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. Related to process and current work experience
Round 3 - One-on-one 

(1 Question)

  • Q1. Capital and Money market

Interview Preparation Tips

Topics to prepare for Deutsche Bank Senior Associate interview:
  • Finance
  • Trading
  • Global Marketing
Interview preparation tips for other job seekers - Three rounds in total including one HR round. There are mostly two operation rounds in which they ask technical questions related to the specific process.

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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