Data Science Interview Experience for the role of Junior Data Scientist at Landmark group
1. SQL question on inner join and cross join
2. SQL question on group-by
3. Case study question on customer optimization of records for different marketing promotional offers
4. Tuple and list
5. Linear regression
6. Logistic regression steps and process
7. Tell me about your passion for data science? Or What brought you to this field?
8. What is the most common problems you face whilst working on data science projects?
9. Describe the steps to take to forecast quarterly sales trends. What specific models are most appropriate in this case?
10. What is the difference between gradient and slope, differentiation and integration?
11. When to use deep learning instead of machine learning. Advantages, Disadvantages of using deep learning?
12. What are vanishing and exploding gradients in neural networks?
13. What happens when neural nets are too small? What happens when they are large enough?
14. Why do we need pooling layer in CNN? Common pooling methods?
15. Are ensemble models better than individual models? Why/why – not?
For LinkedIn Post Please Click Here