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InterGlobe Aviation Data Scientist Interview Questions and Answers

Updated 2 Jan 2025

InterGlobe Aviation Data Scientist Interview Experiences

1 interview found

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

I applied via campus placement at Birla Institute of Technology and Science (BITS), Pilani and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of linear regression
Round 2 - Technical 

(1 Question)

  • Q1. Machine learning in depth

Interview questions from similar companies

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 Aug 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Explain how did you handle the imbalance in data
  • Ans. 

    I handled data imbalance by using techniques like oversampling, undersampling, SMOTE, or using ensemble methods.

    • Used oversampling to increase minority class instances

    • Used undersampling to decrease majority class instances

    • Applied SMOTE (Synthetic Minority Over-sampling Technique) to generate synthetic samples for minority class

    • Utilized ensemble methods like Random Forest or Gradient Boosting to handle imbalance

  • Answered by AI
  • Q2. Write a sql query for the given problem statement. Can be solved using advanced concepts like lead and lag
Round 2 - Group Discussion 

Advanced sql and basics of data science

Interview Preparation Tips

Interview preparation tips for other job seekers - Not clear vision for the candidates joining as they don’t have the understanding of their future scope of the team. The interview will be fairly easy if you are well versed in sql. No questions asked on python. Project level understanding for data science only.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Walk-in and was interviewed in Mar 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Basic coding questions

Round 2 - Technical 

(3 Questions)

  • Q1. Explain in detail about current project? Reason for choosing the algorithm, evaluation metrics and analysis of data
  • Ans. 

    Developed a predictive model for customer churn using logistic regression

    • Chose logistic regression for its interpretability and ability to handle binary outcomes

    • Evaluated model performance using accuracy, precision, recall, and F1 score

    • Analyzed customer data including demographics, purchase history, and customer service interactions

  • Answered by AI
  • Q2. Python and sql coding questions - basic
  • Q3. Linear regression, xgboost, precision, recall, F1 Score,Correlation

Data Scientist Interview Questions & Answers

Boeing user image Ashish Kumar Ray

posted on 1 Sep 2022

I applied via Approached by Company and was interviewed in Mar 2022. There were 3 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. What kind of project you have done give some brief. How you will avoid over fiting to model. How will you handle missing data points in a data frame. Why you want to join our company.
Round 2 - One-on-one 

(1 Question)

  • Q1. Behavioral question was asked by manager.
Round 3 - HR 

(1 Question)

  • Q1. CTC discussion was done

Interview Preparation Tips

Interview preparation tips for other job seekers - Try to give best and rest live on hands of God
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Company Website and was interviewed in May 2024. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. How are you going to tackle the pressurized situations.
  • Ans. 

    I tackle pressurized situations by staying calm, prioritizing tasks, seeking help when needed, and maintaining a positive attitude.

    • Stay calm and composed under pressure

    • Prioritize tasks based on urgency and importance

    • Seek help or guidance from colleagues or supervisors

    • Maintain a positive attitude and focus on finding solutions

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Nice
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
-
Result
Not Selected

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

Round 1 - One-on-one 

(1 Question)

  • Q1. How regularisation works in random forest
  • Ans. 

    Regularisation in random forest helps prevent overfitting by controlling the complexity of the model.

    • Regularisation in random forest is achieved by limiting the depth of the trees in the forest.

    • It helps prevent overfitting by reducing the complexity of the model and improving generalization.

    • Regularisation parameters like max_depth, min_samples_split, and min_samples_leaf can be tuned to control the complexity of the mo

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jan 2023. 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 - Technical 

(2 Questions)

  • Q1. Asked about Projects ?
  • Q2. Asked about algorithms

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared with your cv. Add all technical details and study the models u mentioned properly
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I was interviewed before Nov 2023.

Round 1 - Case Study 

Based on different scenarios they interviewed me

Round 2 - HR 

(2 Questions)

  • Q1. How comfortable I am moving to qatar
  • Q2. Salary expectstion
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 Aug 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Explain how did you handle the imbalance in data
  • Ans. 

    I handled data imbalance by using techniques like oversampling, undersampling, SMOTE, or using ensemble methods.

    • Used oversampling to increase minority class instances

    • Used undersampling to decrease majority class instances

    • Applied SMOTE (Synthetic Minority Over-sampling Technique) to generate synthetic samples for minority class

    • Utilized ensemble methods like Random Forest or Gradient Boosting to handle imbalance

  • Answered by AI
  • Q2. Write a sql query for the given problem statement. Can be solved using advanced concepts like lead and lag
Round 2 - Group Discussion 

Advanced sql and basics of data science

Interview Preparation Tips

Interview preparation tips for other job seekers - Not clear vision for the candidates joining as they don’t have the understanding of their future scope of the team. The interview will be fairly easy if you are well versed in sql. No questions asked on python. Project level understanding for data science only.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

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

Round 1 - One-on-one 

(5 Questions)

  • Q1. Picks one of the Projects to discuss the structure and methodology.
  • Q2. Reverse a String
  • Ans. 

    Reverse a given string

    • Use built-in functions like reverse() or slice() in Python

    • Iterate through the string in reverse order and append characters to a new string

    • Convert the string to an array of characters, reverse the array, and join it back into a string

  • Answered by AI
  • Q3. Basic ML Questions about Resume Projects
  • Q4. What is Regularization?
  • Ans. 

    Regularization is a technique used to prevent overfitting in machine learning models by adding a penalty term to the loss function.

    • Regularization helps to reduce the complexity of the model by penalizing large coefficients.

    • It adds a penalty term to the loss function, such as L1 (Lasso) or L2 (Ridge) regularization.

    • Regularization helps to improve the generalization of the model by discouraging overfitting.

    • Examples of re...

  • Answered by AI
  • Q5. Basics about Forescasting.

Skills evaluated in this interview

InterGlobe Aviation Interview FAQs

How many rounds are there in InterGlobe Aviation Data Scientist interview?
InterGlobe Aviation interview process usually has 2 rounds. The most common rounds in the InterGlobe Aviation interview process are Technical.
What are the top questions asked in InterGlobe Aviation Data Scientist interview?

Some of the top questions asked at the InterGlobe Aviation Data Scientist interview -

  1. basics of linear regress...read more
  2. machine learning in de...read more

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based on 1 InterGlobe Aviation interview
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