- Analyzed users' past activities to provide insights on more efficient customer management strategies based
- Trained more than 20 million data with distributed data parallel strategy using PyTorch
- Constructed embeddings of customers' sequential actions from their e-commerce behavioral dataset
- Improved customer churn prediction accuracy to 80% with hierarchical bayesian model