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Great Learning Senior Data Scientist Interview Questions, Process, and Tips
Great Learning Senior Data Scientist Interview Experiences
1 interview found
Anonymous
I applied via Referral and was interviewed in Oct 2021. There were 5 interview rounds.
Interview Questionnaire
9 Questions
- Q1. About the pervious Project?
- Q2. How ensemble techniques works?
- Ans.
Ensemble techniques combine multiple models to improve prediction accuracy.
Ensemble techniques can be used with various types of models, such as decision trees, neural networks, and support vector machines.
Common ensemble techniques include bagging, boosting, and stacking.
Bagging involves training multiple models on different subsets of the data and combining their predictions through averaging or voting.
Boosting invol...
- Q3. Types of ensemble techniques?
- Ans.
Ensemble techniques combine multiple models to improve prediction accuracy.
Bagging: Bootstrap Aggregating
Boosting: AdaBoost, Gradient Boosting
Stacking: Meta-model combines predictions of base models
Voting: Combining predictions of multiple models by majority voting
- Q4. Explain bagging
- Ans.
Bagging is a technique used in machine learning to improve the stability and accuracy of a model by combining multiple models.
Bagging stands for Bootstrap Aggregating.
It involves creating multiple subsets of the original dataset by randomly sampling with replacement.
Each subset is used to train a separate model, and the final prediction is the average of all the predictions made by each model.
Bagging reduces overfittin...
- Q5. Explain bosting?
- Ans.
Boosting is an ensemble learning technique that combines multiple weak models to create a strong model.
Boosting iteratively trains weak models on different subsets of data
Each subsequent model focuses on the misclassified data points of the previous model
Final prediction is made by weighted combination of all models
Examples include AdaBoost, Gradient Boosting, XGBoost
- Q6. Difference between bias and variance
- Ans.
Bias is error due to erroneous assumptions in the learning algorithm. Variance is error due to sensitivity to small fluctuations in the training set.
Bias is the difference between the expected prediction of the model and the correct value that we are trying to predict.
Variance is the variability of model prediction for a given data point or a value which tells us spread of our data.
High bias can cause an algorithm to m...
- Q7. Classification techniques?
- Ans.
Classification techniques are used to categorize data into different classes or groups based on certain features or attributes.
Common classification techniques include decision trees, logistic regression, k-nearest neighbors, and support vector machines.
Classification can be binary (two classes) or multi-class (more than two classes).
Evaluation metrics for classification include accuracy, precision, recall, and F1 scor...
- Q8. Explain about random forest
- Ans.
Random forest is an ensemble learning method for classification, regression and other tasks.
Random forest builds multiple decision trees and combines their predictions to improve accuracy.
It uses bagging technique to create multiple subsets of data and features for each tree.
Random forest reduces overfitting and is robust to outliers and missing values.
It can handle high-dimensional data and is easy to interpret featur...
- Q9. Many question on SQL and Python
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
I applied via Naukri.com and was interviewed before Sep 2021. There were 2 interview rounds.
Question was moderate.based on logical reasoning and math.
Coding test question based on sql and python.
Interview Preparation Tips
I applied via Referral and was interviewed in Sep 2020. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Salary package
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Dec 2023. There was 1 interview round.
(2 Questions)
- Q1. Asked about the Statistics concepts hypothesis,pvalue,mean,meadian.mode,normaldistrubution?
- Q2. Sql joins questions based on three tables, complex joins
Interview Preparation Tips
- Statistics
- SQL
- joins
Selected
I applied via Referral and was interviewed in May 2024. There were 5 interview rounds.
(2 Questions)
- Q1. Question based on Window Functions in sql
- Q2. Order of execution
- Ans.
Order of execution refers to the sequence in which operations are carried out in a program or system.
Execution starts from the top of the program and moves downwards.
Operations within parentheses are executed first.
Multiplication and division are executed before addition and subtraction.
Functions are executed when they are called.
Control structures like loops and conditionals affect the order of execution.
(2 Questions)
- Q1. Write a sql query to find out different routes for a airline. Table has two columns which are destination and source
- Ans.
Use a SQL query to find different routes for an airline based on source and destination columns in a table.
Use a SELECT statement to retrieve the distinct combinations of source and destination.
Use the DISTINCT keyword to ensure only unique routes are returned.
Order the results by source and destination for easier analysis.
- Q2. Situational questions based on Business KPI
(1 Question)
- Q1. Simple discussion on the role and company culture
(1 Question)
- Q1. Case study question
(1 Question)
- Q1. Basic Discussion on relocation and interest in joining the company.
Interview Preparation Tips
Skills evaluated in this interview
I applied via Recruitment Consulltant and was interviewed in Jan 2024. There were 3 interview rounds.
(1 Question)
- Q1. Technical questions mostly around sql, project based and few theoretical questions on python
(1 Question)
- Q1. This was one of the most grilled interview i have given, require moderate level of sql understanding, was asked to share screen and solve it , also i had show how it is working then basic questions of py...
(1 Question)
- Q1. Was asked basic HR questions
Interview Preparation Tips
- SQL
- Python
- Excel
- Case Studies
I applied via Naukri.com and was interviewed in Mar 2024. There were 2 interview rounds.
(1 Question)
- Q1. The first round was a basic telephonic interview. Then simple basic SQL questions and some question based on Normalisation and DBMS were asked.
(1 Question)
- Q1. This was the toughest Data Analyst Interview I have faced till now. Interview was of 1 hr. Required higher level of SQL understanding. Asked to share screen and then solve SQL queries. Question based on jo...
I applied via Recruitment Consulltant and was interviewed in Oct 2022. There were 4 interview rounds.
(4 Questions)
- Q1. Ask some questions about my self and previously what i did and some questions related to company...
- Q2. Tell me about your self
- Q3. What are the skills you have
- Q4. Why are you choose this company
They share some apptitude questions and communication related questions to answer them...
Take a one topic from my self to discuss with other to communicate....how easily
Interview Preparation Tips
- Python
- MySQL
- Machine Learning
- Tableau
- Excel
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
Verbal, logical, Quantative test
(1 Question)
- Q1. Self introduction
Interview Preparation Tips
shashank boudh
Selected
I applied via Campus Placement and was interviewed before Apr 2022. There were 4 interview rounds.
SQL question and one puzzle
Guestimate about no of red cars in delhi
(1 Question)
- Q1. HR round about skills and projects and where i have excelled.
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Great Learning Senior Data Scientist Reviews and Ratings
based on 2 reviews
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