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Updated weekly · Last refresh Aug 30

NPCI Data Scientist Interview Questions

The questions to prepare for a NPCI Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

31questions
~4htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~24 min
2
Machine Learning13 questions · ~106 min
Random Forest vs Gradient BoostingMedium

Compare Random Forest and Gradient Boosting, then choose the right ensemble for a supervised learning task.

Ensemble MethodsBias-Variance TradeoffSupervised LearningNPCI
Feature Engineering for New ModelsMedium

Explain a practical framework for feature engineering, from raw data review to validation of feature impact on held-out data.

Feature EngineeringModel EvaluationSupervised LearningNPCI
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3
Metrics3 questions · ~24 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisNPCI
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4
Behavioral & Leadership6 questions · ~49 min
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5
More topics6 questions · ~49 min
Statistical Significance in Hypothesis TestingEasy

Explain what statistical significance means and why it matters when interpreting experimental or analytical results.

Hypothesis TestingData AnalysisStatistical SignificanceNPCI
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingNPCI
Adjusted R2 InterpretationMedium

Evaluates your ability to interpret regression metrics and account for model complexity.

Model MetricsNPCI
SQL Window Functions ExperienceMedium

Tests your mastery of advanced SQL patterns for analytics and feature creation.

Window FunctionsData ManipulationsqlNPCI
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 31 questions plus 3 hands-on drills to finish this plan.