I am excited about leveraging my skillset to help you realize the potential your data brings you. I recently completed my master's degree in financial mathematics with 130% the necessary credits, half of which were in data science. I have worked on projects in statistical and probabilistic machine learning for song, sports, and loan classification which you can find on my github page: https://github.com/NotNathaniel/My-projects/tree/Python. My master's dissertation paired my aptitude for both financial mathematics and data science by amending the Nobel prize winning Black-Scholes model and reducing its test error in data fitting from 9% to 0.7%. This made me realize that regardless of how powerful the tools one uses are and how competent their user is the result is still bound by the assumptions behind one's method.