Add office photos
i
Filter interviews by
Renault Nissan Technology & Business Centre India Data Scientist Interview Questions and Answers
Renault Nissan Technology & Business Centre India Data Scientist Interview Experiences
1 interview found
ram prasath
PYTHON,SQL,STATS,ML,DL
(1 Question)
- Q1. Strenght and weakness, long term and short term goal
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
Anonymous
I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
(4 Questions)
- Q1. What is the difference between linear and classification?
- Ans.
Linear regression is used for predicting continuous values, while classification is used for predicting discrete values.
Linear regression is used when the output variable is continuous, such as predicting house prices based on features like size and location.
Classification is used when the output variable is categorical, such as predicting whether an email is spam or not based on its content.
Linear regression aims to f...
- Q2. Explain example of outlier
- Ans.
An outlier is a data point that differs significantly from other data points in a dataset.
Outliers can skew statistical analyses and machine learning models.
Examples of outliers include a person's weight being recorded as 1000 lbs, when the average weight is around 150 lbs.
Outliers can be detected using statistical methods like Z-score or IQR.
- Q3. Explain k mean algorithm
- Ans.
K-means algorithm is a clustering technique that partitions data into k clusters based on similarity.
Divides data points into k clusters based on centroids
Iteratively assigns data points to the nearest centroid and updates centroids
Continues until centroids no longer change significantly
Example: Grouping customers based on purchasing behavior
- Q4. Explain the metrics for classification
- Ans.
Classification metrics are used to evaluate the performance of a classification model.
Accuracy: measures the proportion of correctly classified instances out of total instances
Precision: measures the proportion of true positive predictions out of all positive predictions
Recall: measures the proportion of true positive predictions out of all actual positive instances
F1 Score: harmonic mean of precision and recall, balan...
Skills evaluated in this interview
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 at Symbiosis Centre For Management and HRD (SCMHRD) 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
Selected
I applied via Referral and was interviewed in Apr 2024. There were 3 interview rounds.
Online assessment, coding mcq questions
(2 Questions)
- Q1. Use cases, resume related questions, ML related questions
- Q2. Questions on ML algorithms, clustering, deep learning questions, should be good with at least basic concepts of ML
(2 Questions)
- Q1. Basic concepts of Ml and some valuation metrics questions
- Q2. Customer segmentation based use case questions
I applied via Job Portal and was interviewed in Jul 2023. There was 1 interview round.
(1 Question)
- Q1. Previous experience, basic sql
Interview Preparation Tips
on the contrary the second interviewer was almost silent throughout entire process, giving off an air of disinterest. it was evident that he could not care less and his lack of engagement made the atmosphere uncomfortable. its disheartening to encounter an interviewers who shows no enthusiasm in accessing a candidates skills.
To add insult to injury at the end of the interview the interviewer with fake english accent commented on my apparent lack of energy, asking if i had not had breakfast. This comment was not only unprofessional but also completely unrelated to the purpose of the interview . it left me questioning the legitimacy of their hiring process and the professionalism of the individuals involved
according to my side i have answered all the questions they asked the interviewer also he said that will be also taking round 2 but guess he was just lying.
the experience has shed light on the toxic environment that may exist in this company because of such individuals. its even disheartening to think about the employees who had to work around these individuals regularly
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
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
Tushar Sharma
(2 Questions)
- Q1. 1. What is churn prediction.
- Ans.
Churn prediction is the process of identifying customers who are likely to stop using a service or product.
Churn prediction uses historical data to build models that can forecast which customers are at risk of leaving.
Common techniques for churn prediction include machine learning algorithms like logistic regression, decision trees, and neural networks.
Businesses use churn prediction to proactively retain customers by ...
- Q2. 2. How Faster Rcnn better then Rcnn
- Ans.
Faster R-CNN is an improved version of R-CNN with a faster and more accurate object detection process.
Faster R-CNN introduces Region Proposal Network (RPN) for generating region proposals, making the process faster.
It combines the advantages of RPN and Fast R-CNN for improved speed and accuracy.
Faster R-CNN achieves better performance in terms of speed and accuracy compared to R-CNN.
It is widely used in computer vision...
Skills evaluated in this interview
I applied via Referral and was interviewed in Jan 2024. There was 1 interview round.
(1 Question)
- Q1. How did we solve business problems thru analytics stack
- Ans.
We utilized our analytics stack to identify patterns, trends, and insights in data to address business challenges.
Utilized data visualization tools to identify trends and patterns in customer behavior
Leveraged machine learning algorithms to predict customer churn and optimize marketing strategies
Used statistical analysis to determine the impact of pricing changes on sales performance
Interview Preparation Tips
Renault Nissan Technology & Business Centre India Interview FAQs
Tell us how to improve this page.
Renault Nissan Technology & Business Centre India Interviews By Designations
- Renault Nissan Technology & Business Centre India Senior Engineer Interview Questions
- Renault Nissan Technology & Business Centre India Graduate Engineer Trainee (Get) Interview Questions
- Renault Nissan Technology & Business Centre India Engineer Interview Questions
- Renault Nissan Technology & Business Centre India Design Engineer Interview Questions
- Renault Nissan Technology & Business Centre India Assistant Manager Interview Questions
- Renault Nissan Technology & Business Centre India Graduate Engineer Interview Questions
- Renault Nissan Technology & Business Centre India Engineer Trainee Interview Questions
- Renault Nissan Technology & Business Centre India Gat Engineer Interview Questions
- Show more
Interview Questions for Popular Designations
- Senior Data Scientist Interview Questions
- Jr. Data Scientist Interview Questions
- Decision Scientist Interview Questions
- Associate Data Scientist Interview Questions
- Data Scientist Intern Interview Questions
- Lead Data Scientist Interview Questions
- Trainee Decision Scientist Interview Questions
- Research Scientist Interview Questions
- Show more
Interview Questions from Similar Companies
Fast track your campus placements
Renault Nissan Technology & Business Centre India Data Scientist Reviews and Ratings
based on 3 reviews
Rating in categories
|
Senior Engineer
2.4k
salaries
|  ₹6 L/yr - ₹19 L/yr |
|
Assistant Manager
1.6k
salaries
| ₹7.3 L/yr - ₹26.4 L/yr |
|
Engineer
1.4k
salaries
| ₹3.5 L/yr - ₹12 L/yr |
|
Design Engineer
680
salaries
| ₹3 L/yr - ₹11.3 L/yr |
|
Deputy Manager
514
salaries
| ₹9.8 L/yr - ₹28.8 L/yr |
Hyundai Motor India Engineering
Ford Technology Services India
Mahindra & Mahindra
Tata Technologies
Calculate your in-hand salary
- Home >
- Interviews >
- Renault Nissan Technology & Business Centre India Interview Questions >
- Renault Nissan Technology & Business Centre India Data Scientist Interview Questions
