Kotak Data Scientist Interview Questions
The questions to prepare for a Kotak Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate each user's running order total over time using a window function.
Use CTEs, date filtering, aggregation, and a LEFT JOIN to find Kotak customers who purchased in January but not February.
Use a CTE and window functions to calculate daily, cumulative, and three-day moving transaction volumes by Mastercard MCC.
MastercardExplain how to tell whether a model is overfitting or underfitting using train versus validation performance and related checks.
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Use training, validation, and cross-validation behavior to distinguish underfitting from overfitting in supervised models.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Define a success metric for a new feature that captures real user value, not just raw usage.
Explain how to validate data quality and statistical reliability before trusting analysis results.
Investigate whether a performance decline is seasonal or a real product issue.