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Aditya Birla Group Data Scientist Interview Questions and Answers

Updated 9 Jan 2025

Aditya Birla Group Data Scientist Interview Experiences

2 interviews found

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

(2 Questions)

  • Q1. What is LSTM and how is different with RNN
  • Q2. Tell me the NLP technique you used in past and explain
Interview experience
5
Excellent
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed before Jan 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about Yourself.
  • Ans. 

    I am a data scientist with a background in statistics and machine learning.

    • Background in statistics and machine learning

    • Experience with data analysis and visualization tools like Python, R, and Tableau

    • Strong problem-solving skills

    • Ability to communicate complex technical concepts to non-technical stakeholders

  • Answered by AI
  • Q2. Explain your Final Year Project
  • Ans. 

    Developed a predictive model for customer churn in a telecom company using machine learning algorithms.

    • Used Python for data preprocessing and model building

    • Implemented algorithms like Random Forest and Logistic Regression

    • Evaluated model performance using metrics like accuracy and AUC-ROC curve

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Aditya Birla Group Data Scientist interview:
  • Data Analytics
Interview preparation tips for other job seekers - Be True and Confident. Prepare for it with Focus.

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Interview questions from similar companies

I applied via Referral and was interviewed before Sep 2021. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Advance excel vlookup hlookup sumproduct
  • Q2. Pivot table and all the question about excel

Interview Preparation Tips

Interview preparation tips for other job seekers - Nice company but make sure that please join on company payroll

I applied via Job Fair and was interviewed in Jun 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 - Case Study 

Hospitality management

Round 3 - HR 

(3 Questions)

  • Q1. Job details, working progress and growth details
  • Q2. Details about company package and satisfied work
  • Q3. Suitable job Job description team management

Interview Preparation Tips

Interview preparation tips for other job seekers - I'm Self motivated,hard working, deciplined person

I applied via Walk-in and was interviewed in Nov 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 - Group Discussion 
Pro Tip by AmbitionBox:
Don’t treat group discussions as an argument. Group discussion is about reaching a meaningful conclusion.
View all tips

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare basics questions from management
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Mar 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 - One-on-one 

(2 Questions)

  • Q1. Basic Journal entries of Purchase, Sales, Provisions, Reserve, Fixed Assets, CWIP, Accrued Expenses. Deferred revenue. Some TDS section & rate. Provision for bad debt.
  • Q2. 2nd question is for Family background.

Interview Preparation Tips

Interview preparation tips for other job seekers - First listen the question carefully . Take a break, think and then give your answer confidently. Soft skills also matters.
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. About your working
  • Q2. And overall experience
Round 2 - Assignment 

All.ptp question are there. There are 25 que are there and 4 option for one que

Round 3 - Technical 

(2 Questions)

  • Q1. Journal entries all
  • Q2. And overall job experience

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare journal entries

I applied via LinkedIn and was interviewed in Sep 2020. There were 5 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Explain VIF
  • Ans. 

    VIF stands for Variance Inflation Factor, a measure of multicollinearity in regression analysis.

    • VIF is used to detect the presence of multicollinearity in regression analysis.

    • It measures how much the variance of the estimated regression coefficient is increased due to multicollinearity.

    • A VIF value of 1 indicates no multicollinearity, while a value greater than 1 suggests increasing levels of multicollinearity.

    • A commonl...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on the projects that has been done in past

I applied via Walk-in and was interviewed in Mar 2020. There was 1 interview round.

Interview Questionnaire 

10 Questions

  • Q1. What is R square and how R square is different from Adjusted R square
  • Ans. 

    R square is a statistical measure that represents the proportion of the variance in the dependent variable explained by the independent variables.

    • R square is a value between 0 and 1, where 0 indicates that the independent variables do not explain any of the variance in the dependent variable, and 1 indicates that they explain all of it.

    • It is used to evaluate the goodness of fit of a regression model.

    • Adjusted R square t...

  • Answered by AI
  • Q2. Explain what do u understand by the team WOE and IV. What's the importance. Advantages and disadvantages
  • Q3. What are variable reducing techniques
  • Ans. 

    Variable reducing techniques are methods used to identify and select the most relevant variables in a dataset.

    • Variable reducing techniques help in reducing the number of variables in a dataset.

    • These techniques aim to identify the most important variables that contribute significantly to the outcome.

    • Some common variable reducing techniques include feature selection, dimensionality reduction, and correlation analysis.

    • Fea...

  • Answered by AI
  • Q4. Which test is used in logistic regression to check the significance of the variable
  • Ans. 

    The Wald test is used in logistic regression to check the significance of the variable.

    • The Wald test calculates the ratio of the estimated coefficient to its standard error.

    • It follows a chi-square distribution with one degree of freedom.

    • A small p-value indicates that the variable is significant.

    • For example, in Python, the statsmodels library provides the Wald test in the summary of a logistic regression model.

  • Answered by AI
  • Q5. How to check multicollinearity in Logistic regression
  • Ans. 

    Multicollinearity in logistic regression can be checked using correlation matrix and variance inflation factor (VIF).

    • Calculate the correlation matrix of the independent variables and check for high correlation coefficients.

    • Calculate the VIF for each independent variable and check for values greater than 5 or 10.

    • Consider removing one of the highly correlated variables or variables with high VIF to address multicollinear...

  • Answered by AI
  • Q6. Difference between bagging and boosting
  • Ans. 

    Bagging and boosting are ensemble methods used in machine learning to improve model performance.

    • Bagging involves training multiple models on different subsets of the training data and then combining their predictions through averaging or voting.

    • Boosting involves iteratively training models on the same dataset, with each subsequent model focusing on the samples that were misclassified by the previous model.

    • Bagging reduc...

  • Answered by AI
  • Q7. Explain the logistics regression process
  • 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 a type of regression analysis used for predicting the outcome of a categorical dependent variable based on one or more predictor variables.

    • It uses a logistic function to model the probability of the dependent variable taking a particular value.

    • It is commo...

  • Answered by AI
  • Q8. Explain Gini coefficient
  • Ans. 

    Gini coefficient measures the inequality among values of a frequency distribution.

    • Gini coefficient ranges from 0 to 1, where 0 represents perfect equality and 1 represents perfect inequality.

    • It is commonly used to measure income inequality in a population.

    • A Gini coefficient of 0.4 or higher is considered to be a high level of inequality.

    • Gini coefficient can be calculated using the Lorenz curve, which plots the cumulati...

  • Answered by AI
  • Q9. Difference between chair and cart
  • Ans. 

    A chair is a piece of furniture used for sitting, while a cart is a vehicle used for transporting goods.

    • A chair typically has a backrest and armrests, while a cart does not.

    • A chair is designed for one person to sit on, while a cart can carry multiple items or people.

    • A chair is usually stationary, while a cart is mobile and can be pushed or pulled.

    • A chair is commonly found in homes, offices, and public spaces, while a c...

  • Answered by AI
  • Q10. How to check outliers in a variable, what treatment should you use to remove such outliers
  • Ans. 

    Outliers can be detected using statistical methods like box plots, z-score, and IQR. Treatment can be removal or transformation.

    • Use box plots to visualize outliers

    • Calculate z-score and remove data points with z-score greater than 3

    • Calculate IQR and remove data points outside 1.5*IQR

    • Transform data using log or square root to reduce the impact of outliers

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Explain the concept properly, if not able to explain properly then take a pause and try again with some examples. Be confident.

Skills evaluated in this interview

I applied via Campus Placement and was interviewed in Dec 2020. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. Tell me about yourself Why data science Tell me about regression Evaluation metrics
  • Q2. What is accuracy What is precision
  • Ans. 

    Accuracy is the closeness of a measured value to the true value. Precision is the consistency of repeated measurements.

    • Accuracy measures how close a measurement is to the true value

    • Precision measures the consistency of repeated measurements

    • Accuracy can be affected by systematic errors

    • Precision can be affected by random errors

    • Accuracy and precision are both important in scientific measurements

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Just keep basics concepts clear

Skills evaluated in this interview

Aditya Birla Group Interview FAQs

How many rounds are there in Aditya Birla Group Data Scientist interview?
Aditya Birla Group interview process usually has 1 rounds. The most common rounds in the Aditya Birla Group interview process are Technical and One-on-one Round.
What are the top questions asked in Aditya Birla Group Data Scientist interview?

Some of the top questions asked at the Aditya Birla Group Data Scientist interview -

  1. Tell me the NLP technique you used in past and expl...read more
  2. What is LSTM and how is different with ...read more

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Aditya Birla Group Data Scientist Interview Process

based on 2 interviews

Interview experience

5
  
Excellent
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Aditya Birla Group Data Scientist Salary
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₹7 L/yr - ₹20 L/yr
12% less than the average Data Scientist Salary in India
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