Company Focus
JPMorgan Interview Problems (12)
Problems reported from JPMorgan data science interviews
| Status | Title | Difficulty | |||
|---|---|---|---|---|---|
| Correlation vs Causation Pro | Easy | ||||
| Linear Regression Assumptions Violated Pro | Medium | ||||
| Multicollinearity and VIF Pro | Medium | ||||
| Percentile Calculation Pro | Medium | ||||
| Regression Homoscedasticity Pro | Medium | ||||
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| Scalar Subquery for Comparison Pro | Medium | ||||
| Subquery with IN for Filtering Pro | Medium | ||||
| Correlated Subquery for Latest Order Pro | Hard | ||||
| EXISTS Subquery for Conditional Filtering Pro | Hard | ||||
| Handling Class Imbalance with SMOTE Pro | Hard | ||||
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| Nested Subquery for Percentile Filtering Pro | Hard | ||||
| Regression Independence Assumption and Autocorrelation Pro | Hard | ||||