NaviSite Payroll Consultant Interview Questions and Answers

Q1. What profile have you worked with?
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Q1. What is the review cycle in your company
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Q1. 2 Technical rounds questions on SQL and ML
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Prepare well on basics of SQL, Python and Machine learning

Q1. Prior experiences, Future growth, case studies
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Q1. Python SQL spark AWS and big data
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Q2. Python SQL pyspark aws
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Q1. PowerApps and PowerBI related questions
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Q1. High level scenerio based analytical questions
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Q1. Basic ml qiestions
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Q1. Ml related questions
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Q1. How random forest decides the variables
Ans. 
Random forest decides variables based on feature importance and information gain.
• Random forest calculates feature importance by measuring how much the tree nodes that use a particular feature reduce impurity.

• Variables with higher feature importance are considered more important in making predictions.

• Random forest also uses information gain to decide which variables to split on at each node in the trees.

• The variables th...read more
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Q2. We need to use gini index for variable selection
Ans. 
Gini index is a measure of impurity used in decision trees for variable selection.
• Gini index ranges from 0 (pure node) to 0.5 (impure node)

• Variables with lower Gini index are preferred for splitting

• Higher Gini index indicates higher impurity and less predictive power
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Q1. SQL queries scenario based
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Q2. Just gave schema and asked 5 questions.
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