1.) Tell me about yourself 2.) How will you handle imbalanced data 3.) How to find outliers 4.) How will you handle outliers 5.) How will you handle missing values? which imputation technique I have used? 5.) Why mean imputation & why not median imputation? 6.) 2 SQL questions - second highest salary, sales person sold products to family members 7.) 2 python - array, pandas (handling some sales data related question)
What is in your idea the added value that Ikea is giving to its food area?
What are your 3 best and worst personnality traits
Why do you want to work from NatWest.
Tell me a problem you encountered in a Data Science project and how did you solve it.
Why and how u knew abt the position
What is TF-IDF? What is Gradient Boosting?
Do you have any experience with NLP
Tell us about a Deep Learning project you do? How can you derive new learning rules from a formula?
We want to know more about you, could you share more about yourself.
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