• Ran and evaluated Matlab machine learning models using sensitivity and specificity values on spectra data of different stone types.

• Wrote scripts to visualize data using PCA visualization and to distinguish datasets used in machine learning models.

• Created presentations demonstrating strengths of different machine learning models based on run conditions (distance, stone type, rotation values)

• Held virtual office hours 7-10 hours a week to assist with homework and supplement class material.

• Tested homework assignments for the instructor and provided constructive feedback on difficulty and clarity.

• Monitored student progress and provided feedback regarding class materials to the instructor