The technical interview involves questions about algorithms, model evaluation metrics, and past projects The Data Science case study involves solving a real-time data science problem which can be a business/product metric question The business case study involves solving a business case by structuring the response and analyzing the data
For the technical interview they presented me with a case where the owner of a football team wanted to predict how likely it would be for a player to get injured. I had to come up with the model to use to predict this, what variables were important, how to calculate error, what would a good accuracy be etc.
no last part yet, still on process
Walk me through your thinking--what are the assumptions, and ways you are approaching this problem?
Writing some basic python functions
Asked to break down gamestop's sudden fluctuation in value and discussed how I would predict Gamestop's value and if I would include that fluctuation in the model.
Tall about the projects you did.
Tell me about the projects which you have done in your semesters.
Basic questions on programming and about my projects
Tell me about yourself; what's something you've learned through working in groups (in school through master's program). Questions about my work history and about the school projects I had listed on my resume.
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