Machine Learning Engineer
- Developed and maintained an anomaly detection pipeline in Azure that monitors the health of upstream equipment providing real time feedback to engineers allowing them to extend the equipment’s lifespan leading to significant cost savings.- Implemented a machine learning training pipeline that automated the re-training process for anomaly detection PCA models making the refinement of models more streamlined.- Established MLE Learning sessions for all MLE’s at Chevron to increase alignment across teams on technical knowledge, development patterns and best practices.- Deployed a machine learning pipeline that utilized a REST API endpoint to integrate with PowerApps to provide on demand predictions to users.- Completed Chevron's Data Science Development Program that taught modeling techniques and data science methodologies using existing business problems and data.
