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Renault-Nissan Data Scientist Interview Questions and Answers
Renault-Nissan Data Scientist Interview Experiences
1 interview found
Anonymous
(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
- Q2. General Discussion
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
I appeared for an interview before Oct 2019.
Interview Questionnaire
1 Question
- Q1. Case study
Interview Preparation Tips
I appeared for an interview before Feb 2021.
(3 Questions)
- Q1. Share details of your previous job.
- Q2. Why are you looking for a change?
- Q3. Tell me about yourself.
House price prediction
(1 Question)
- Q1. About data, data science and Pharma domain
Interview Preparation Tips
I applied via Job Fair and was interviewed in May 2024. There was 1 interview round.
(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
Interview Preparation Tips
Selected
I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.
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.
(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
(2 Questions)
- Q1. Ethical questions
- Q2. Besic HR questions like why this company
Interview Preparation Tips
- Machine Learning
- Tata motors history
- Your CV
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
- 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
Interview Preparation Tips
Skills evaluated in this interview
I applied via Referral and was interviewed before Sep 2021. There were 2 interview rounds.
(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
- Automobile,ic engines,excel.
Interview Questionnaire
1 Question
- Q1. How are you?
I applied via Approached by Company and was interviewed before Jun 2021. There were 2 interview rounds.
(1 Question)
- Q1. How many years you stay in this organisation?
- Ans. This organisation is really good, if I thought I will continues upto retirement.
Interview Preparation Tips
I applied via Walk-in and was interviewed before Mar 2021. There were 2 interview rounds.
(1 Question)
- Q1. Why should we hire you?
Interview Preparation Tips
In every interview your confidence is most important
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Renault-Nissan Data Scientist Interview Process
based on 1 interview
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Renault-Nissan Data Scientist Reviews and Ratings
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