Tell me about a time when you couldn't meet a deadline?
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Case Interview: the case is the car finance loan. - what are revenues and expenses - given a model that predicts when a customer is good (loan should be approved) or bad (loadn should be decline) find out: 1. the probability that the customer is good given the model predicts good 2. the probability that the customer is bad given the model is good 3. given a pentile graph of # of checked off loans / # of loans what is a better model than the current; what is the best model. Behavioral interview: - tell me about a time that you had to deal with changing objectives in your team/project - tell me about a time that you had to deal with unexpected problems in your project - tell me about a time that you had to persuase somebody Role interview: the case is a report on air company with low percentage of flight on time. Read the report an give an evaluation of it and some reccomendations to your boss. 15 minutes to read the report and remove anything unecessary or spot errors. 20 minutes to present it to your boss. 15 minutes to discuss afterwards from data scientist to data scientist.
Estimate how many shoes can be sold in US in one year?
A set of values given: Assume table in SQL or list of dictionaries if using Python. Basically a row of data contained information: if it is post or it is a comment, row id and some other data. Find distribution of comments. #comments # posts 1 5000 2 6787 .. ..
How would you test if survey responses were filled at random by certain individuals, as opposed to truthful selections?
There are 6 marbles in a bag - 1 is white. You reach in the bag 100 times. After drawing a marble, it is placed back in the bag. What is the probability of drawing the white marble at least once?
Can you explain how this algorithm works? Estimate the cross-sell potential for this client. Take me through one of your projects.
I was aske to specify as many ways to return the rowcount in the table.
1st round technical round. They will ask about demographic tools, SQL and python few questions. 1:3 interview process?
very easy questions and took very less time
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