Evidence Performed by Shayne Vacher-Moffeit

Developed an image classification model to achieve early-stage wildfire identification using a real-world satellite imagery dataset. Configured, analyzed, and executed Python-based deep learning pipelines utilizing the PyTorch framework. Executed quantitative feature analysis on multi-spectral spatial data, tracked supervised model performance metrics, and iteratively tuned pipeline components to optimize predictive classification accuracy.