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BUSINESSNEXT Data Scientist Interview Questions, Process, and Tips
Top BUSINESSNEXT Data Scientist Interview Questions and Answers
- Q1. What is Machine Learning, Difference among AI, ML and DL
- Q2. Difference between Precision and Recall? How to select features? What’s p-value?
- Q3. Evaluation Metrics for Classification
BUSINESSNEXT Data Scientist Interview Experiences
3 interviews found
Anonymous
Selected
I applied via Naukri.com and was interviewed before Oct 2023. There were 3 interview rounds.
(2 Questions)
- Q1. What is Machine Learning, Difference among AI, ML and DL
- Ans.
Machine Learning is a subset of Artificial Intelligence that uses algorithms to learn from data and make predictions.
AI (Artificial Intelligence) is the broader concept of machines being able to carry out tasks in a way that we would consider 'smart'.
ML (Machine Learning) is a subset of AI that focuses on the development of computer programs that can access data and use it to learn for themselves.
DL (Deep Learning) is ...
- Q2. Evaluation Metrics for Classification
- Ans.
Evaluation metrics are used to assess the performance of classification models.
Common evaluation metrics include accuracy, precision, recall, F1 score, and ROC-AUC.
Accuracy measures the overall correctness of the model's predictions.
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 positives.
F1 sco...
(2 Questions)
- Q1. Window Function of SQL
- Ans.
Window functions in SQL allow you to perform calculations across a set of table rows related to the current row.
Window functions are used to perform calculations on a set of rows related to the current row.
They do not reduce the number of rows returned by the query.
Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().
- Q2. Index and Procedure in SQL
- Ans.
Indexes are used to improve the performance of SQL queries by allowing faster data retrieval. Procedures are reusable SQL code blocks.
Indexes are used to quickly locate data without having to scan the entire table.
Procedures are stored SQL code blocks that can be executed multiple times.
Indexes can be created on columns to speed up search queries.
Procedures can accept input parameters and return results.
(2 Questions)
- Q1. Salary Expectation
- Q2. Location Preferemce
Interview Preparation Tips
- Python
- Machine Learning
- SQL
Skills evaluated in this interview
Selected
I applied via Naukri.com and was interviewed before Mar 2022. There were 3 interview rounds.
(1 Question)
- Q1. Difference between Precision and Recall? How to select features? What’s p-value?
- Ans.
Precision and Recall are evaluation metrics for classification models. Feature selection is important for model performance. P-value is a statistical measure.
Precision is the ratio of true positives to the total predicted positives. Recall is the ratio of true positives to the total actual positives.
Precision is important when false positives are costly, while recall is important when false negatives are costly.
Feature...
(1 Question)
- Q1. Questions on project life cycle: Challenges faced during Data Cleaning and Feature Engineering?
Interview Preparation Tips
Skills evaluated in this interview
I applied via Approached by Company and was interviewed before Sep 2021. There were 4 interview rounds.
(1 Question)
- Q1. Technical questions about machine learning and data science
(1 Question)
- Q1. Machine learning and data science and about past industry projects
(1 Question)
- Q1. Salary discussion and about joining. Roles explained by HR
Interview Preparation Tips
Interview questions from similar companies
Aayushi Jain
I applied via Naukri.com and was interviewed in May 2024. There were 5 interview rounds.
MCQs on ML, SQL. Timed test.
Interviewer was nice and had good knowledge. Asked to introduce myself, asked me to solve 2 programming question on Python.
1. Valid Parenthesis
2. Find longest increasing subsequence
Asked about project and technical questions related to project
(2 Questions)
- Q1. Introduce yourself
- Q2. Asked about project and questions related to project and technical questions on ML, SQL
(1 Question)
- Q1. Technical questions related to Machine Learning, SQL and asked about project and relevant technical questions
(4 Questions)
- Q1. Basic stat and math for ML question in a tricky way.
- Q2. Question related to hypothesis testing, P-value
- Q3. Basic yet tricky questions on ML
- Q4. A puzzle relalted to Probability
Interview Preparation Tips
Snigdha Verma
I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Project related questions
- Q2. Theoretical ML questions
(2 Questions)
- Q1. Project related questions
- Q2. Theoretical ML questions
Interview Preparation Tips
I appeared for an interview in Oct 2023.
(1 Question)
- Q1. Resume based questions
(1 Question)
- Q1. In depth ML and DL
Interview Preparation Tips
It contain both Aptitude and Coding about base models and Deep learning too
(2 Questions)
- Q1. What different models technique ?
- Ans.
Different models techniques include linear regression, decision trees, random forests, support vector machines, and neural networks.
Linear regression is used for predicting continuous values.
Decision trees are used for classification and regression tasks.
Random forests are an ensemble method based on decision trees.
Support vector machines are used for classification tasks.
Neural networks are used for complex pattern re
- Q2. What are performance metric where to use what?
- Ans.
Different performance metrics are used for different types of machine learning models to evaluate their effectiveness.
For classification models, metrics like accuracy, precision, recall, F1 score, and ROC-AUC are commonly used.
For regression models, metrics like mean squared error (MSE), mean absolute error (MAE), and R-squared are commonly used.
For clustering models, metrics like silhouette score and Davies-Bouldin in...
(2 Questions)
- Q1. Explain about Project
- Q2. What are problems faced in that project?
Skills evaluated in this interview
I applied via Campus Placement
(1 Question)
- Q1. The technical round lasted over an hour, and I was questioned on statistics, machine learning, projects, and python programming. I was asked about hypothesis testing and the p-value in statistics. I was a...
(1 Question)
- Q1. We discussed the compensation and benefits and the employment requirements.
Interview Preparation Tips
I applied via Company Website and was interviewed in May 2021. There was 1 interview round.
Interview Questionnaire
3 Questions
- Q1. Basic of Deep Learning
- Q2. Topic Name 1. Decision Tree 2. Optimization 3. CNN,RNN, LSTM, GRU details comparison.
- Q3. Mathematics & Statistics some basic question
Interview Preparation Tips
It is an online coding test and the duration is 3 hours. They test your python skills here. Questions are related to Python and Pandas. You have to write code for the given questions.
(2 Questions)
- Q1. Few basic python programs related to lists, data structures, strings, Fibonacci series etc
- Q2. Asked ML related questions like regression, classification algorithms, NLP questions, evaluation metrics, how to handle if there are many attributes in dataset etc
Interview Preparation Tips
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BUSINESSNEXT Interviews By Designations
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BUSINESSNEXT Data Scientist Interview Process
based on 2 interviews
Interview experience
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BUSINESSNEXT Data Scientist Reviews and Ratings
based on 9 reviews
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260
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|  ₹3.5 L/yr - ₹12 L/yr |
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