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It would be interesting to see if the model produces biased results by race, gender, age, etc.

That would actually be a really great idea. I wonder if it would be tough to get race/gender/age just from the linkedin profile.

You can probably get away with undergraduate degree graduation year as a rough proxy for age.

age(grad_year) ~= (2016 - grad_year) + 22