1.Built detection models for Chailease Finance to solve the Buy Now Pay Later Payment (BNPL) fraud detection task
2. Implemented data visualizing methods such as density distribution analyzing, fetaure engineering, and t-SNE to provide insights into the nature of the data distribution
3. Utilized Generative Adversarial Network (GAN) to solve the highly class imbalanced problem in BNPL dataset
4. Used traditional machine learning algorithms such as XGBoost or Random Forest and deep learning model such as Multi-Layer Perceptron (MLP) to detect fraudulent transactions.
5. The proposed method attains 5% improvements on AUC score