Portfolio

Selected Coursework:

Compressive Sensing/Dynamic Mode Decomposition Analyzing Discrete Mood Data - My final project for Computational Methods for Data Analysis. The purpose was to practice using computational methods on real data Note that the data set I used was inherently flawed and so the results are suspect, but the methods and data manipulation were done correctly. 

Singular Value Decomposition/Machine Learning for Genre Recognition - Another project completed for Computational Methods for Data Analysis. Using gabor filters, singular value decomposition and supervised machine learning (Naive Bayesian and Linear Discriminant Analysis) to sort music by genre.