Infosys Data Scientist Interview Questions
The questions to prepare for a Infosys Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Join customer and financial data to find customers aged 20 to 30 earning above the campaign salary threshold.
InfosysReturn employees earning the second-highest distinct salary within each department, including salary ties.
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ABC FamilyExplain how INNER and LEFT JOIN behavior changes based on primary keys, foreign keys, nullable columns, and unmatched rows.
InfosysExplain how Python integrates with Spark SQL and how Spark DataFrames can be converted to pandas for local analysis.
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Explain how to version pipeline code and datasets so teams can collaborate, reproduce results, and track changes safely.
InfosysExplain a practical preprocessing strategy for missing values and outliers before training a supervised learning model.
InfosysExplain how you evaluate models using the right metrics, validation strategy, and error analysis for the problem.
InfosysExplain statistical significance in experiments and how p-values and confidence intervals guide interpretation.
InfosysFramework for choosing a feature's primary success metric and guardrails before launch.
InfosysDiagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
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