Appzen Data Scientist Interview Questions
The questions to prepare for a Appzen Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Compare GPT and transformer models with traditional NLP approaches, focusing on representation learning and sequence modeling.
AppzenDesign a pipeline to extract entities, events, and actionable signals from noisy financial text.
AppzenTechniques for building scalable, reliable feature engineering pipelines on large datasets for ML workloads.
AppzenDesign telemetry and monitoring for a production ML pipeline to catch latency, failures, and data quality issues early.
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Evaluate a model on an imbalanced dataset and judge whether accuracy is misleading.
AppzenCompare two classifiers using ROC AUC and explain what the score does and does not tell you.
AppzenExplain a practical process for tuning model hyperparameters using cross-validation and overfitting checks.
AppzenExplain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.
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