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Ignitarium Technology Solutions Data Scientist Interview Questions and Answers

Updated 10 Aug 2021

Ignitarium Technology Solutions Data Scientist Interview Experiences

Interview questions from similar companies

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

I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is Adaboost?
  • Ans. 

    Adaboost is a machine learning algorithm that combines multiple weak learners to create a strong learner.

    • Adaboost stands for Adaptive Boosting.

    • It works by adjusting the weights of incorrectly classified instances so that subsequent weak learners focus more on them.

    • The final prediction is made by combining the predictions of all the weak learners, weighted by their accuracy.

    • Example: Adaboost is commonly used in face det

  • Answered by AI
  • Q2. Print the binary tree in different order
  • Ans. 

    Printing a binary tree in different orders

    • Use inorder traversal to print the binary tree in ascending order

    • Use preorder traversal to print the binary tree in root-left-right order

    • Use postorder traversal to print the binary tree in left-right-root order

  • Answered by AI

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Nov 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. Python Boosting Random Forest NLP Cnn
Round 3 - Technical 

(1 Question)

  • Q1. Scenario based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on basics of all the concepts and mathematics behind the algorithms
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is Adaboost?
  • Ans. 

    Adaboost is a machine learning algorithm that combines multiple weak learners to create a strong learner.

    • Adaboost stands for Adaptive Boosting.

    • It works by adjusting the weights of incorrectly classified instances so that subsequent weak learners focus more on them.

    • The final prediction is made by combining the predictions of all the weak learners, weighted by their accuracy.

    • Example: Adaboost is commonly used in face det

  • Answered by AI
  • Q2. Print the binary tree in different order
  • Ans. 

    Printing a binary tree in different orders

    • Use inorder traversal to print the binary tree in ascending order

    • Use preorder traversal to print the binary tree in root-left-right order

    • Use postorder traversal to print the binary tree in left-right-root order

  • Answered by AI

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Nov 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. Python Boosting Random Forest NLP Cnn
Round 3 - Technical 

(1 Question)

  • Q1. Scenario based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on basics of all the concepts and mathematics behind the algorithms

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