The zero-inflation problem is a common and overlooked challenge in data science.Zero-inflation occurs when the number of observed zeros in a dataset exceeds what is predicted by a standard statistical model.This problem is particularly common in count data.Addressing zero-inflation is crucial for accurate data analysis and model building.