Data Consultant Interview Questions

1,913 data consultant interview questions shared by candidates

How do you deal with missing data? We're in a meeting with a client representing a small bank. They're interested in assessing the credit risk of all of their customers, how would you go about doing such a task? How could you use social media to assess credit risk? What is the acute angle that exists at 3:30 on a clock? You are given 8 balls. One of them is marginally heavier than the rest. Using a pendulum weighing scale, what is the minimum number of times you can use the scales to identify the heavier ball?
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Data Science Consultant

Interviewed at Management Solutions

3.8
Nov 2, 2021

How do you deal with missing data? We're in a meeting with a client representing a small bank. They're interested in assessing the credit risk of all of their customers, how would you go about doing such a task? How could you use social media to assess credit risk? What is the acute angle that exists at 3:30 on a clock? You are given 8 balls. One of them is marginally heavier than the rest. Using a pendulum weighing scale, what is the minimum number of times you can use the scales to identify the heavier ball?

Round 1: ML: Regression, classification, Deep learning, Ensemble methods, under sampling and oversampling techniques, data processing steps, complete project pipeline, evaluation metrics, underfitting, overfitting, bias-variance, entropy, gini index..., Python: same basic questions, functions of lists, pandas, numpy libraries, deep and shallow copy, finding an nth root of a number without predefined functions. Round 2: more on your project experience, challenges and approach in your projects, tools and automated tools used in the project, AWS services used, complete project pipeline using AWS, probability questions, few questions on DL, approach to a problem statement, based on your approach you will get a few more questions like why not the other way etc.., Most questions are from the things mentioned in your resume and the answers for previous questions.
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Consultant Data Scientist

Interviewed at Capgemini

4.2
Feb 8, 2021

Round 1: ML: Regression, classification, Deep learning, Ensemble methods, under sampling and oversampling techniques, data processing steps, complete project pipeline, evaluation metrics, underfitting, overfitting, bias-variance, entropy, gini index..., Python: same basic questions, functions of lists, pandas, numpy libraries, deep and shallow copy, finding an nth root of a number without predefined functions. Round 2: more on your project experience, challenges and approach in your projects, tools and automated tools used in the project, AWS services used, complete project pipeline using AWS, probability questions, few questions on DL, approach to a problem statement, based on your approach you will get a few more questions like why not the other way etc.., Most questions are from the things mentioned in your resume and the answers for previous questions.

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