Projects
Bee Habitat Recommendation System
PythonReactJavaScript
Built a full-stack AI recommendation engine using truncated SVD on Oregon Bee Atlas data to predict bee-flower interactions, enabling data-driven habitat restoration for land managers. Modeled complex ecological relationships via sparse matrix factorization, identifying optimal plant species for local bee populations across diverse Oregon ecosystems.
Character Classification Neural Network — From Scratch
PythonNumPyPandas
Built a Feed Forward Neural Network from scratch in Python — no ML frameworks — implementing backpropagation, weight initialization, and hyperparameter tuning by hand; achieved 85% test accuracy on EMNIST.