BB&T AI/ML Analyst Interview Questions

The questions to prepare for a BB&T AI/ML Analyst interview. Questions from real interview reports rank first. Updated weekly.

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Model EvaluationStart here. 4 questions · ~32 min

Explain how to tell whether a model is overfitting or underfitting using train versus validation performance and related checks.

Model Performance EvaluationEasy

Tests your ability to select metrics, validation strategy, and interpret results for ML models.

PrecisionAccuracyRecall

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Improve Underperforming Model AccuracyMedium

Approach for diagnosing an underperforming model and improving accuracy through error analysis, feature work, tuning, and bias variance tradeoffs.

Cross-ValidationAccuracyThreshold Tuning

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Machine Learning12 questions · ~96 min

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Handling Missing Values in MLEasy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularization

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More topics4 questions · ~32 min

A/B Testing a Banking FeatureHard

Tests experimental design skills, metrics selection, and statistical thinking for product decisions.

Hypothesis TestingStatistical SignificanceA/B Testing

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Tableau and Power BI ExperienceMedium

Tests your ability to build dashboards and communicate metrics effectively with BI tools.

KPIsDiagnosisEngagement Metrics

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Measuring AI/ML Success in BankingMedium

Tests ability to define metrics, baselines, and business impact for AI/ML programs.

KPIsLeading IndicatorsDiagnosis

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