A data science team at a lending company has collected raw loan application data that includes an applicant's date of birth and total annual income. Before training a model to predict default risk, an analyst derives a new 'age' column from the date of birth and normalizes income into a scaled value. Which phase of the ML development lifecycle do these transformations represent?