The hackerrank was a SWQ, algorithm, and code review test. The OA had a live simple whiteboard problem to solve. The SQL interview wasn't too bad as someone who doesn't use SQL much, but it was all windows function based. The investigative interview tasked me with how I would go about using data to track fraud in different situations such as mortgage bonds and such. What I would recommend investing in given 2 options, ect.
What an abstract and interface is
self introduction, no technical questions
Can you give me a brief overview of your understanding of machine learning?
Are you willing to travel?
So let's say you wanted to analyze some data, how would you do it?
Technical knowledge: algorithms and data engineering concepts
1. career cup question 2. Priority Queue 3. Lined Lists
What is an embedding? Select features from some columns of x values and predict some y value.
Did you have conflict with your lead about approaches to solve a problem,did you suggest your approach, which approach was taken ,did you defend your idea.
Viewing 211 - 220 interview questions