In this talk I will cover my journey from physics undergraduate at WVU to Principal Data Scientist at a Machine Learning startup. I’ll cover some of the projects that I have worked on in my role as Data Scientist and cover some of the main data science/machine learning techniques involved with each. These projects cover many areas from 3D object detection with deep learning, motion tracking in security footage, modeling topics in a large email database, and others. I’ll wrap up by giving some advice for those that are looking to make the transition from physics to data science.