Data Science

Over time, while building and iterating on machine learning systems, one lesson keeps repeating itself: model performance is often constrained less by the algorithm and more by how the data is represented. Feature engineering is the work of turning raw data into signals that reflect real-world behavior. When done well, it allows models to learn patterns that would otherwise remain hidden. In practice, we’ve consistently seen that thoughtful feature design improves accuracy mo