I teach Data science, Python and Machine Learning to university students across the globe for a US education company. I have also worked as a Sr. Data Scientist for Leidos QTC Health Services. Other professional experience includes working as a Lead Machine Learning Engineer for Brush Country Claims where I have used the sarima time series algorithm to forecast next year’s daily claim volume. I have also worked as Data Scientist for clients such as Megaport and Autozone and as a software developer for clients such as Lockheed Martin and American Express. I enjoy working with large complex datasets as well as cleaning, manipulating and modeling them to derive insights. At AutoZone I did churn modeling using the logistic regression algorithm. At TIAA I implemented an eigenvector centrality algorithm machine learning model in Dynatrace to identify the root cause of server failure and at Verisk Analytics I did data forecasting to forecast premium growth using the random forest regression algorithm on commercial insurance datasets. I am proficient in the Python, R, SQL and SAS. Along with data visualization in Tableau, my portfolio of sample visualizations can be found here I would describe myself as personable with a positive can-do attitude, having worked with developers, project managers, technical leads and clients. I teach using a step-by-step approach using Powerpoint slides, custom coding scripts, custom images and custom videos. Please feel free to contact me at for further discussion on how I can best meet your teaching needs, thank you.