Air India Data Scientist Interview Questions
The questions to prepare for a Air India Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Design an A/B test for a new booking experience, including metrics, power, guardrails, and a ship rule.
Explain how to design, power, monitor, and analyze an A/B test so its conclusions are statistically and practically valid.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Write a query utilizing window functions such as ROWNUMBER or DENSERANK to identify the top three active users per region over the last quarter. Treat use...
Explain how you diagnosed and improved a model's performance using evaluation, feature engineering, model selection, or tuning.
Explain what statistical significance means and why it matters when interpreting experimental or analytical results.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
Design a practical training and evaluation strategy for classification when minority-class errors matter more than accuracy.
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Calculate each user's 7-day activity average and rank users within their cohort using PostgreSQL window functions.
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TredenceCalculate monthly user totals, running totals, and time-based rankings with PostgreSQL window functions.