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Jio Platforms Data Science Intern Interview Questions and Answers

Updated 16 May 2024

Jio Platforms Data Science Intern Interview Experiences

2 interviews found

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

I applied via Approached by Company and was interviewed in Sep 2023. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. What is reinformance learning
  • Ans. 

    Reinforcement learning is a type of machine learning where an agent learns to make decisions by receiving feedback from its environment.

    • In reinforcement learning, an agent interacts with an environment by taking actions and receiving rewards or penalties.

    • The goal is for the agent to learn the optimal strategy to maximize cumulative rewards over time.

    • Examples include training a computer program to play games like chess ...

  • Answered by AI

Skills evaluated in this interview

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

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

Round 1 - Technical 

(1 Question)

  • Q1. Data Science basics, ML basics

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared, be confident and be honest

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Interview Questionnaire 

1 Question

  • Q1. Diffe heilman algorithm
  • Ans. 

    Diffie-Hellman algorithm is a key exchange protocol used to securely exchange cryptographic keys over a public channel.

    • It is based on the concept of discrete logarithm problem.

    • It involves two parties, Alice and Bob, who generate their own private and public keys.

    • The public keys are exchanged and used to generate a shared secret key.

    • The shared secret key is used for encryption and decryption of messages.

    • It is widely use...

  • Answered by AI

Skills evaluated in this interview

I appeared for an interview before Jul 2021.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Model evaluation and performance metrices
  • Q2. Explaination of bagging and boosting techniques
  • Ans. 

    Bagging and boosting are ensemble techniques used to improve the accuracy of machine learning models.

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

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

    • Bagging reduces va...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on basic concepts and previous projects

Skills evaluated in this interview

I applied via Naukri.com and was interviewed before Jul 2021. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. NLP and Computer Vision based Question were asked.
Round 2 - Technical 

(1 Question)

  • Q1. General Questions on Machine Learning and deployments technique
Round 3 - HR 

(1 Question)

  • Q1. Salary Negotiations and joining discussion

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview questions are subject to current project requirements
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in Nov 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. How to Ensure Data loss in ETL pipeline
  • Q2. Why to spin up Dataproc cluster when there is serverless batch job exists.

Interview Questionnaire 

1 Question

  • Q1. Good knowledge about Machine Learning algorithms and their mathematical structure.

Interview Preparation Tips

Interview preparation tips for other job seekers - Have a good understanding of the machine learning algorithms along with the mathematical intricacies.

I applied via Naukri.com and was interviewed in Mar 2022. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Question on NER models
  • Q2. Question from project
Round 2 - One-on-one 

(2 Questions)

  • Q1. Critical thinking questions
  • Q2. Case studies based questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on current project and your resume mentioned skills
Round 1 - Coding Test 

Prime Number, Oops, SQL Coding

Round 2 - Technical 

(1 Question)

  • Q1. Spark, Big Data, Python, SQL

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare big data, SQL leetcode, Python, Spark
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I appeared for an interview in Feb 2025.

Round 1 - Technical 

(1 Question)

  • Q1. They will inquire about your previous work and projects, specifically focusing on SQL and PySpark.

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on optimizing SQL queries and managing end-to-end project processes.

Jio Platforms Interview FAQs

How many rounds are there in Jio Platforms Data Science Intern interview?
Jio Platforms interview process usually has 1 rounds. The most common rounds in the Jio Platforms interview process are One-on-one Round and Technical.
What are the top questions asked in Jio Platforms Data Science Intern interview?

Some of the top questions asked at the Jio Platforms Data Science Intern interview -

  1. What is reinformance learn...read more
  2. Data Science basics, ML bas...read more

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Jio Platforms Data Science Intern Interview Process

based on 2 interviews

Interview experience

5
  
Excellent
View more

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Jio Platforms Data Science Intern Reviews and Ratings

based on 2 reviews

5.0/5

Rating in categories

5.0

Skill development

5.0

Work-life balance

5.0

Salary

5.0

Job security

5.0

Company culture

5.0

Promotions

5.0

Work satisfaction

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