Imbalanced Datasets Classification

Hello,

I have a folder containing 60 files of imbalanced datasets, that seem to share the same pattern.
I need some help in improving the accuracy, precision, and auc_score.

Attached you can find one of the datasets in the folder.
The target variable: y

Deliverables:
- Jupyter notebook showing the achieved score (at least 0.95 for auc_score)

The project might involve feature engineering to build better features
Thanks