Moody's Analytics Data Science Intern Interview Questions and Answers

Q1. Explain any ML model.
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Q2. Create Dataframe from two lists.
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Q1. Explain the RAG pipeline?
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RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.
• RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria

• Red category typically represents data that needs immediate attention or action

• Amber category represents data that requires monitoring or further investigation

• Green category represents data that...read more
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Q2. Explain Confusion metrics
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Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.
• Confusion matrix is a table that describes the performance of a classification model.

• It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.

• These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...read more
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Q1. Gen AI projects
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Q2. Architecture of projects I worked
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DSA and ML, AI, Coding question

Q1. Case study which was easy
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Q1. In depth questions on ML
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Q1. Coding question related to hashing
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Q1. Bio activities example
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Q2. Adverse drug reaction
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SQL, Python coding …

Aptitudes of everything

Coding test in round 1 only