1. How is word transformers different from Sentence transformers. 2. Scenario based questions. 3. When to use F1 Score, Precision, Recall Score 4. Clustering before train test split or after train test split. 5. I was surprised on this question. Do SMOTE increase your test data sample size as well 6. Scaling - MinMax, Standard and Robust Scaler 7. When to use class weights and oversampling/Undersampling ( No one can get it right at the first time). I wont recommend for someone who has good experience in Data Science. In my decade of taking/giving data Science interviews, this has to be rated as my worst experience.
Lead Data Scientist Interviews
Lead Data Scientist Interview Questions
"As a lead data scientist, you will be responsible for developing creative and effective improvements to a company's product by analyzing data from consumers, websites, sales, and many other sources. During an interview, expect to be given many case studies about what information you can draw from a particular set of data as well as to be tested on your general statistical and computer science knowledge. A background in computer science, statistics, or another related field is required. "
398 lead data scientist interview questions shared by candidates
Forests, boosting, projects from CV.
Your past projects? Your skillsets?
What time are you available
Reversing the order of python function arguments, bayes rule stats question, question around understanding precision, recall etc, differentiate a bunch of trigonometric identities.
About my background - educational and industrial
Make Stack from queue ?
why should you want to be a part of EXL Family
Could not understand the questions being asked due to thick Indian accent.
How would you convince upper management to provide you with funding for a project. What if they disagree with your approach, how would you go about convincing them?
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