Describe an ML project you recently done.
Sr Data Scientist Interview Questions
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Customer segmentation, AB testing, advertising campaigns, Validation of models
1. Difference between RF and XGBoost 2. Build end-to-end pricing strategy for product line.
Basic ML questions. Complexity of sorting and searching algorithms and medium level LC questions.
- Hiring Manager Screening Round [Project Level Discussion] - Coding Assessment - SQL and Python [Medium Level]
Walk me through a challenging project
Work experience / Project based. And how did I handle certain situations in the project.
Detail a project you've worked on that you feel passionately about. Walk us through your approach and why you chose that direction to solve the problem.
One of the one-on-one's was with an engineer, and they asked lots of questions about the full pipeline of data analysis, from data ingestion to reporting. Other team members asked various sort of behavioral questions.
Python & SQL PowerBI & Tableau Regression, Logistic Regression, XGBoost
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