University of Minnesota Data Scientist Interview Questions
The questions to prepare for a University of Minnesota Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Build a supervised model from a dataset, from feature prep through validation and deployment choices.
University of MinnesotaExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
University of MinnesotaExplain how to reduce overfitting using regularization, validation, and model selection.
University of MinnesotaTests your practical use of statistics to drive decisions and quantify uncertainty.
University of MinnesotaTests debugging analytical work and validating assumptions when results do not match expectations.
University of MinnesotaExplain common machine learning evaluation metrics and when each is useful.
University of MinnesotaTests practical data cleaning decisions and impact on downstream analysis quality.
University of MinnesotaTests diagnosing query bottlenecks and applying indexing, query rewriting, and execution-plan reasoning.
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Compute per-vehicle daily autonomous vs manual seconds from state-change logs using LEAD and conditional aggregation.
Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIAggregate January 2024 campaign data by channel using GROUP BY, filtering, and ordering by total clicks.
DNV
Eversana
Discord