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Ernst & Young Data Analyst Intern Interview Questions and Answers
Ernst & Young Data Analyst Intern Interview Experiences
2 interviews found
Anonymous
I applied via Referral and was interviewed in Jul 2023. There were 3 interview rounds.
There are 20 questions for apti round
10 coding with following output
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- Alteryx
- Advanced Excel
- SQL
Selected
I applied via Approached by Company and was interviewed before Oct 2022. There were 2 interview rounds.
(2 Questions)
- Q1. What do you use the separate lines in standard output in c++?
- Ans.
Separate lines in standard output in C++ are used to display different pieces of information on separate lines for better readability.
Separate lines are used to display different outputs or messages in a clear and organized manner.
They are commonly used with the 'endl' or ' ' characters to move to the next line.
For example, cout << 'Hello' << endl; will display 'Hello' on one line and move to the next line for the next
- Q2. How do double linked list work? What is the difference between linked list and double linked list?
- Ans.
A double linked list is a data structure where each node contains a reference to the previous and next node.
In a linked list, each node contains a reference to the next node only, while in a double linked list, each node contains references to both the previous and next nodes.
Double linked lists allow for traversal in both directions, making operations like deletion and insertion easier compared to single linked lists.
...
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Namita
Selected
I applied via Approached by Company and was interviewed before Jul 2023. There were 4 interview rounds.
SQL, Machine Learning, Probability
(2 Questions)
- Q1. Machine Learning Concepts
- Q2. Gradient Descent
(2 Questions)
- Q1. Project Related Questions
- Q2. Resume Based Questions
(1 Question)
- Q1. Just sharing pleasantries
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- Machine Learning
- SQL
- Python
I applied via LinkedIn and was interviewed in Jan 2024. There were 2 interview rounds.
Time series and regression
Queries and commands
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Selected
I applied via Approached by Company and was interviewed in Dec 2024. There were 3 interview rounds.
(2 Questions)
- Q1. Big data , Optimization , Python basic , SQL intermediate
- Q2. Find max and min number without sorting Joins related Big data handling Optimization question
(2 Questions)
- Q1. Schema , python , sql
- Q2. Case study sql and python based
Sales data from a leading manufacturer
Hemant Yadav
Selected
I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
Combination logic on python
(1 Question)
- Q1. Explain classification
- Ans.
Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.
Classification involves training a model on labeled data to predict the class of new, unseen data points.
Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.
Examples of classification tasks include spam email...
It had python based questions
It had ml based questions
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Basic Mathematics, Statistics questions
Share thoughts on one topic for in 1 minute
(2 Questions)
- Q1. This is the technical round
- Q2. 1. Regression analysis 2. R2 , adj R2 3. Statistics 4. Machine Learning
(1 Question)
- Q1. Basic Aptitude, quizzes, case study
I applied via Naukri.com and was interviewed in Sep 2023. There were 3 interview rounds.
(1 Question)
- Q1. Questions on PowerBI & Power Query
(1 Question)
- Q1. Interpersonal communication skills
Selected
I applied via Approached by Company and was interviewed before May 2023. There were 2 interview rounds.
(1 Question)
- Q1. 1. What is the role of beta value in Logistic regression? 2. What is bias variance trade off? 3. How did you decide on the list of variables that would be used in a model?
- Ans.
Beta value in logistic regression measures the impact of independent variables on the log odds of the dependent variable.
Beta value indicates the strength and direction of the relationship between the independent variables and the log odds of the dependent variable.
A positive beta value suggests that as the independent variable increases, the log odds of the dependent variable also increase.
A negative beta value sugges...
1. You are the data scientist of a digital store. You have to recommend top 10 products to a customer. What variables and techniques will you use to recommend the top 10 products?
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