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Birla Institute of Scientific Research Jr. Data Scientist Interview Questions and Answers

Updated 12 Jan 2025

Birla Institute of Scientific Research Jr. Data Scientist Interview Experiences

1 interview found

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

I applied via Naukri.com and was interviewed in Dec 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Fundamental coding concepts related to data science.

Round 2 - One-on-one 

(5 Questions)

  • Q1. Questions related to fundamental of Data science process
  • Q2. Machine Learning Algorithms
  • Ans. 

    Machine learning algorithms are used to train models on data to make predictions or decisions without being explicitly programmed.

    • Machine learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.

    • Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.

    • Examples of unsupervised learning algorithms include k-means clustering, ...

  • Answered by AI
  • Q3. Basics of excel
  • Q4. Basics of SQl questions
  • Q5. Fundamental of applications of Machine Learning

Birla Institute of Scientific Research Interview FAQs

How many rounds are there in Birla Institute of Scientific Research Jr. Data Scientist interview?
Birla Institute of Scientific Research interview process usually has 2 rounds. The most common rounds in the Birla Institute of Scientific Research interview process are Coding Test and One-on-one Round.
What are the top questions asked in Birla Institute of Scientific Research Jr. Data Scientist interview?

Some of the top questions asked at the Birla Institute of Scientific Research Jr. Data Scientist interview -

  1. Machine Learning Algorit...read more
  2. Questions related to fundamental of Data science proc...read more
  3. Fundamental of applications of Machine Learn...read more

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Birla Institute of Scientific Research Jr. Data Scientist Interview Process

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Interview experience

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Excellent
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