Amazon Data Scientist Interview Questions and Answers for Experienced

Q1. SQL Window function- hard
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Q2. Case study questions answers
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Q1. Describe your project
Ans. 
Developed a predictive model to forecast customer churn for a telecom company
• Collected and cleaned customer data including demographics, usage patterns, and customer service interactions

• Used machine learning algorithms such as logistic regression and random forest to build the predictive model

• Evaluated model performance using metrics like accuracy, precision, recall, and ROC curve

• Provided actionable insights to the com
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SQL - shared question on the screen and asked to code in SQL

Q1. Nth highes salary
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