Project information

Backorder prediction for optimizing inventory control, reducing costs, and enhancing customer satisfaction

Designed and implemented a comprehensive end-to-end Machine Learning pipeline for predicting Backorder utilizing Python and AWS platform.

Conducted robust analysis on a dataset encompassing one million bike usage records, effectively integrating MLOps practices for continuous model retraining and performance enhancement.