Aditya Birla Group Data Scientist Interview Questions
The questions to prepare for a Aditya Birla Group Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how to evaluate whether an A/B test result is statistically significant and how to interpret the result.
Tests correct selection of statistical tests based on experimental design and number of groups.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Calculate each product-region's rolling 7-day average sales using daily aggregation and calendar-aware windowing.
Diagnose a below-expectations product metric drop using decomposition, guardrails, and experiment checks.
Explain how bagging and boosting differ, and identify a representative algorithm for each ensemble method.
Define a success metric for a new feature that captures real user value, not just raw usage.
Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.
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Calculate each restaurant's 7-day rolling average of daily orders, including days with zero orders.
GrubhubCalculate daily website visits and their seven-day rolling average using PostgreSQL window functions.
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