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Renault-Nissan Data Scientist Interview Questions and Answers

Updated 27 Jul 2024

Renault-Nissan Data Scientist Interview Experiences

1 interview found

Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What was the previous use case that you have implemented in Machine Learning
  • Ans. 

    Implemented a predictive maintenance use case using machine learning algorithms

    • Collected historical maintenance data from machines

    • Preprocessed the data to handle missing values and outliers

    • Trained machine learning models to predict when maintenance is needed

    • Implemented a dashboard to visualize maintenance predictions

    • Achieved a significant reduction in unplanned downtime

  • Answered by AI
  • Q2. General Discussion

Skills evaluated in this interview

Interview questions from similar companies

I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.

Interview Questionnaire 

3 Questions

  • Q1. Project Based Questions
  • Q2. Which Algorithms you used , statistical measured , challenges , outcome
  • Ans. 

    I have used various algorithms such as linear regression, decision trees, and neural networks to analyze data and make predictions.

    • Used linear regression to predict housing prices based on various features

    • Implemented decision trees to classify customer behavior and recommend products

    • Utilized neural networks for image recognition tasks

    • Challenges included dealing with missing data and overfitting

    • Outcome was improved accu

  • Answered by AI
  • Q3. Why a specific algorithm was used. Reasoning.
  • Ans. 

    The algorithm was chosen based on its ability to handle large datasets and its accuracy in predicting outcomes.

    • The algorithm was selected after evaluating its performance on similar datasets.

    • It was chosen for its ability to handle high-dimensional data and its scalability.

    • The algorithm was compared to other models and found to have the highest accuracy in predicting outcomes.

    • The choice of algorithm also depends on the

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare detail answers on all the projects mentioned in CV.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Group Discussion 

It was campus placement. We were givien the topic "future of AI and ML in automobile industry". The time given was around 15mins. The explained the process in great detail and very clearly.

Round 2 - Technical 

(2 Questions)

  • Q1. CV and basic of ML
  • Q2. What if questions. For eg, if you want to launch a new EV in market then what will be your approach What if you are the CEO.. ETC
Round 3 - HR 

(2 Questions)

  • Q1. Ethical questions
  • Q2. Besic HR questions like why this company

Interview Preparation Tips

Topics to prepare for Tata Motors Data Scientist interview:
  • Machine Learning
  • Tata motors history
  • Your CV
Interview preparation tips for other job seekers - My advice is be cool and true to yourself. They tried to grill you and see how you perform under pressure.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

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

Round 1 - HR 

(2 Questions)

  • Q1. Introduction your self
  • Q2. What are the language you learned
  • Ans. 

    I have learned multiple programming languages including Python, R, SQL, and Java.

    • Python

    • R

    • SQL

    • Java

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - first prepare intruduction and what are languages we learned in academic .
Interview experience
4
Good
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. What is difference between lstm and rnn
  • Ans. 

    LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.

    • RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.

    • LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.

    • LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.

    • L...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. What are different evaluation matrix ?
  • Ans. 

    Evaluation matrices are used to assess the performance of models in data science.

    • Confusion matrix: used to evaluate the performance of classification models.

    • Precision, recall, and F1 score: measures for binary classification models.

    • Mean squared error (MSE): evaluates the performance of regression models.

    • R-squared: assesses the goodness of fit for regression models.

    • Area under the ROC curve (AUC-ROC): evaluates the perfo...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Nov 2023. There were 4 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. Questions from projects which was mentioned on resume
Round 2 - One-on-one 

(2 Questions)

  • Q1. Fitment based questions
  • Q2. Explain a project
  • Ans. 

    Developed a machine learning model to predict customer churn for a telecom company.

    • Collected and cleaned customer data including usage patterns and demographics

    • Used classification algorithms like Random Forest and Logistic Regression to build the model

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI
Round 3 - Aptitude Test 

Math, English, reasoning

Round 4 - HR 

(1 Question)

  • Q1. Asked me about expected salary

I applied via Referral and was interviewed before Feb 2021. There was 1 interview round.

Round 1 - Technical 

(4 Questions)

  • Q1. My job Responsibility and my job profile.
  • Q2. Line balancing for me.
  • Ans. 

    Line balancing is the process of optimizing workstations in a production line to minimize idle time and maximize efficiency.

    • It involves analyzing the production process and identifying bottlenecks

    • Tasks are then rearranged to balance the workload across workstations

    • The goal is to achieve a smooth and continuous flow of work

    • Example: In a car assembly line, line balancing would involve ensuring that each workstation has a...

  • Answered by AI
  • Q3. Rejected and part analysis for everyone.
  • Q4. Check sheet Filling.

Interview Preparation Tips

Interview preparation tips for other job seekers - Job Responsibility, Line Balancing, Data entry, Poka Yoka analysis etc.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Dec 2021. 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 - Group Discussion 

First off all, we ought to have some sortoff automobile and production knowledge because they will definitely check our technical skill secondly, listening skill and fluency plays significant factor

Round 3 - HR 

(2 Questions)

  • Q1. It was more like technical round moreover you have to be clear in purpose of your life based upon they are recruiting
  • Q2. Define tqbm ? What is bom?
  • Ans. 

    TQBM stands for 'Tudo Que Bem' which means 'Everything is fine' in Portuguese. BOM means 'good' in Portuguese.

    • TQBM is a common phrase used in Brazil to ask if everything is okay.

    • BOM is often used as a response to TQBM to indicate that everything is good.

    • Both TQBM and BOM are informal and commonly used in everyday conversations.

    • Example: A friend asks 'TQBM?' and you respond 'BOM, e voce?' which means 'Everything is fine

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Believe in yourself and consistency plays major part always give your 100%

I applied via Referral and was interviewed before Sep 2021. 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 - HR 

(2 Questions)

  • Q1. Questions related to your life and society to check your presence of mind and awareness of the world.
  • Q2. Question from ic engines,about their working and processes involved.

Interview Preparation Tips

Topics to prepare for Tata Motors Associate interview:
  • Automobile,ic engines,excel.
Interview preparation tips for other job seekers - Be yourself,prepare well and hope for the best...

Associate Interview Questions & Answers

Bajaj Auto user image pradnya gadahire

posted on 31 Jul 2024

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

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

Round 1 - Aptitude Test 

Logical aptitude test

Round 2 - Technical 

(2 Questions)

  • Q1. Practical test of vlookup and pivot
  • Q2. What is sap and explain tcodee
  • Ans. 

    SAP is a software used by companies for managing business operations and customer relations. Tcode is a transaction code used to access specific functions in SAP.

    • SAP stands for Systems, Applications, and Products in Data Processing.

    • It is a software used by companies for various business operations like finance, HR, sales, etc.

    • Tcode is a transaction code used to access specific functions in SAP, like creating a purchase

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Bajaj Auto Associate interview:
  • SAP
Interview preparation tips for other job seekers - Join on contract basis

Skills evaluated in this interview

Renault-Nissan Interview FAQs

How many rounds are there in Renault-Nissan Data Scientist interview?
Renault-Nissan interview process usually has 1 rounds. The most common rounds in the Renault-Nissan interview process are Technical.
How to prepare for Renault-Nissan Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Renault-Nissan. The most common topics and skills that interviewers at Renault-Nissan expect are Application Development, Application Programming, Computer Vision, Deep Learning and Machine Learning.
What are the top questions asked in Renault-Nissan Data Scientist interview?

Some of the top questions asked at the Renault-Nissan Data Scientist interview -

  1. What was the previous use case that you have implemented in Machine Learn...read more
  2. General Discuss...read more

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Renault-Nissan Data Scientist Interview Process

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Renault-Nissan Data Scientist Salary
based on 8 salaries
₹4.2 L/yr - ₹16 L/yr
35% less than the average Data Scientist Salary in India
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