I am a talented problem solver with a background in data science, machine learning, linear algebra, and graph theory through my academic research accomplishments. My background in data science and machine learning includes experience with SVMs, decision trees, random forests, clustering, regression, neural networks, multivariable analysis, and automated machine learning. I am also a very effective communicator and leader as a result of teaching multiple university mathematics courses and giving conference presentations.