First Round: ML Case Study

Process:

• Technical case study interview focused on machine learning.

Problem:

• Worked with a dataset with missing data and class imbalance (20% positive labels).
• Performed basic feature engineering (normalized time spent per person).

Focus:

• Handling imperfect datasets in ML applications.