As I can remember right now: - Measure and calculated columns you have used explainn in your projects. - data flows and your experience working with them. - which DAX formula you have work with more? - DAX formula you have used for filtering. some SQL questions: - which codes to create tables and views? - your experience with data cleansing in SQL.
How can your experience and education add value to the company?
Both technical and personal. Strengths, weaknesses, preferences, goals. Well rounded questions geared for looking at the whole person, not just the skill set.
Q: Describe a situation where you have worked with data? Q: If you got another chance with the data what would you have done differently? Q: Describe a situation where thing didn't work out for you? Q: Why working for Mars?
open-ended machine learning question, java vs python, oops question, java language focused questions
What is your experience in statistical programming/ clinical research?
Unbalanced datasets, how do you deal with them
Linear regression model: Define it? how to get the least square ...? And what is differences between predictive data and real-world data? What’s a logistic regression model? define and give an example of it. Do you know bayes’ rules? bayes’ theorem? Give an example of using Bayes. Real-world questions 1000 resume in 10 classes, if you have a new resume, how can you classify it into the current class? what if there is no test cases for the model? how would you do? and what if the test sample is biased? what will you do?
What approach would you take if you had to build a system that would retrieve resumes from a corpus of various documents if you had limited time and resources.
linked lists vs arrays
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