I am a cross-disciplinary, cross-industry data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced statistical methods. I have a strong belief that data should lead to not only to understanding, but also drive action.

My educational Background is in the field of Physics, Mathematics, and Philosophy. I did my undergraduate work at the University of Rochester obtaining B.S. in Physics with a minor in Mathematics and a B.A. of Philosophy simultaneously. I continued on with my education obtaining an M.S. in Physics from Louisiana State University. My graduate work was focused on experimental neutrino physics - particularly the T2K project.

My graduate work was done in C++ in a date framework known as ROOT. My currently preferred language for data analysis and web sraping is python and it's associated libraries - numpy, scikit-learn, maplotlib, pandas, etc.