Computer Science

I've taught myself about several topics in machine learning, such as linear regression, logistic regression, SVMs, MLE and MAP, etc. through online lectures and course notes and have worked on multiple Kaggle challenges that apply many of these concepts.

I've also completed a significant research project that involved the use of both unsupervised learning (clustering), and supervised learning (neural networks for character detection). I also have significant programming experience over the past few years and have worked on a number of projects, including an app that has over 2000 downloads on the Play Store.

Additionally, last year, I took a course on Linear Algebra, which has significant application in machine learning, and achieved the highest grade possible.