PwC Data Scientist Interview Questions, Process, and Tips

Coding Interview on Python for 15 minutes. Straight away to coding. Did one basic mistake first then others attended well. Basically from List operations, Pandas DF merging,concat etc.One simple pattern program etc.But no confimation yet from them

Q1. List compehension example,List multiplications,Pandas merge,join,concat,some pattern program general;
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Q2. List comprehension example, Pandas merging code etc
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Combination logic on python

Q1. Explain classification
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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...read more
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Q1. Write a prompt to extract key Personal Identifiable Information given a resume
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Extracting key Personal Identifiable Information from a resume prompt
• Look for information such as full name, address, phone number, email address, date of birth, and social security number

• Utilize natural language processing techniques to identify patterns and structures in the text

• Consider using regular expressions to match specific formats of personal information

• Ensure data privacy and security measures are in place w
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Q1. Why do you want to for PWC?
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