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Ernst & Young
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I applied via Referral and was interviewed before Oct 2023. There were 4 interview rounds.
Basic math and coding questions
A/B testing is a method used to compare two versions of a webpage or app to determine which one performs better.
Randomly assign users to two groups: A (control) and B (test)
Expose group A to the current version and group B to the new version
Measure key metrics (e.g. conversion rate) for both groups
Analyse the results to determine which version performs better
I applied via LinkedIn and was interviewed in Mar 2024. There was 1 interview round.
More about python and SQL coding
What people are saying about Ernst & Young
I applied via Approached by Company and was interviewed in May 2024. There were 3 interview rounds.
DSA was asked. And general coding language questions were asked. Previous experience based questions were asked.
Machine Learning, Generative AI, Deep learning interview questions. 2 Coding problems based on Algorithms.
I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
Combination logic on python
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 was on HackerRank
Building a reward points model.
Machine Learning, Metrics
I applied via Approached by Company and was interviewed before Sep 2023. There were 3 interview rounds.
Simple Data Science Case Study
Data Science Case Study
I applied via Company Website and was interviewed before Sep 2022. There were 4 interview rounds.
Interview experience
based on 14 reviews
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Hyderabad / Secunderabad,
Gurgaon / Gurugram
+110-15 Yrs
Not Disclosed
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