Your question is Feature Engineering for Unstructured Data. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Describe your process for feature engineering when working with unstructured datasets.
Address how you inspect and clean raw data, represent text or other unstructured inputs, combine engineered features with metadata, prevent leakage, and validate that features improve a downstream model. Include practical considerations for sparse representations, missing or noisy content, feature selection, reproducibility, and production consistency.