Role Summary
- Engineered a robust machine learning framework to analyze over 800 time series data tags from a new oral care production line.
- Used XGBoost to visualize feature importance and uncover root causes of downtime through real-time system correlation.
- Built a scalable troubleshooting dashboard and expanded a Dash/Docker-based application to support predictive diagnostics.
- Applied agile methodologies and advanced feature engineering to improve operational efficiency and forecasting accuracy.
