Comment by soVeryTired

What you're asking for looks a lot like a kaggle challenge. You're asking if someone can use xgboost (or linear regression). It's the last ten per cent of a data science problem, if that.

The hard parts of data science include the following:

  - choosing the right input data (rather relying on regularisation)
  - figuring out what the consequences are if you're wrong in a specific way, and avoiding the bad cases
  - wrangling your data into a nice CSV format
  - handling missing data
  - spotting biases in your data collection methodology

I'd expect a graduate to know about regression. For anyone else, this wouldn't help me assess their skills.