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Omind Data Scientist Interview Questions and Answers

Updated 13 Aug 2024

Omind Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I was interviewed in Feb 2024.

Round 1 - Assignment 

It was some data analytics question along with model training covering basic ML to NLP and CV

Round 2 - Technical 

(2 Questions)

  • Q1. Questions on assignment
  • Q2. Case study related to data given a scenerio
Round 3 - HR 

(2 Questions)

  • Q1. Basic questions
  • Q2. Salary discussion

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Coding Test 

2 questions based on coding

Round 2 - Technical 

(2 Questions)

  • Q1. 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 each character to a new string

    • Convert the string to an array of characters, reverse the array, then join the characters back together

  • Answered by AI
  • Q2. Linked list in java
  • Ans. 

    A linked list is a data structure in Java where each element points to the next element in the list.

    • Linked list nodes contain data and a reference to the next node

    • Insertion and deletion operations are efficient in linked lists

    • Traversal requires iterating through each node starting from the head

    • Example: Node class with data and next pointer, LinkedList class with methods to insert, delete, and traverse

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - Technical 

(1 Question)

  • Q1. What is over fitting
  • Ans. 

    Overfitting occurs when a model learns the training data too well, leading to poor performance on new, unseen data.

    • Overfitting occurs when a model is too complex and captures noise in the training data.

    • It can be identified when a model performs well on training data but poorly on test data.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • Example: A decision tree with too ma...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Coding Test 

2 questions based on coding

Round 2 - Technical 

(2 Questions)

  • Q1. 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 each character to a new string

    • Convert the string to an array of characters, reverse the array, then join the characters back together

  • Answered by AI
  • Q2. Linked list in java
  • Ans. 

    A linked list is a data structure in Java where each element points to the next element in the list.

    • Linked list nodes contain data and a reference to the next node

    • Insertion and deletion operations are efficient in linked lists

    • Traversal requires iterating through each node starting from the head

    • Example: Node class with data and next pointer, LinkedList class with methods to insert, delete, and traverse

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
Less than 2 weeks
Result
-

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

Round 1 - Technical 

(1 Question)

  • Q1. What is over fitting
  • Ans. 

    Overfitting occurs when a model learns the training data too well, leading to poor performance on new, unseen data.

    • Overfitting occurs when a model is too complex and captures noise in the training data.

    • It can be identified when a model performs well on training data but poorly on test data.

    • Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

    • Example: A decision tree with too ma...

  • Answered by AI

Skills evaluated in this interview

Omind Interview FAQs

How many rounds are there in Omind Data Scientist interview?
Omind interview process usually has 3 rounds. The most common rounds in the Omind interview process are HR, Assignment and Technical.
What are the top questions asked in Omind Data Scientist interview?

Some of the top questions asked at the Omind Data Scientist interview -

  1. case study related to data given a scene...read more
  2. Questions on assignm...read more
  3. basic questi...read more

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