ARTELYS CANADA
Data Science Consultant
May 2025 — Jan. 2026- Optimized production forecasting by training XGBoost regression models on technical transformer data, achieving a 50% reduction in prediction error (MAE/RMSE).
- Bridged the gap between AI and engineering by implementing feature importance analysis to provide model explainability for non-technical stakeholders.
- Architected and deployed a Python application to parse complex engineering files and visualize predictive insights, streamlining decision-making for factory leads.