Key Highlights:
Developed pipeline to aggregate data from different sources and analyze automobile insurance churn in different counties in Texas.
Engineered a scalable neural network for churn prediction, reducing training time by 38%.
Utilize MlFlow for evaluating performance of different configuration of models.