At Splash, I work with Data. My job is awesome. I develop Data-focused apps and dashboards for our clients to make better decisions faster. I create linear, tree-based and neural-network models to learn, forecast and predict. I get to brainstorm with some of the smartest people in the industry, and we continually challenge each other to improve how our Data communicate via charts, tables, predictions, or presentations. Prior to joining Splash, I spent 4 years as a Commodity Analyst at Schneider Electric. There I developed and maintained forecasts for energy commodity prices, including electricity, coal, and carbon. I have been an R practitioner since 2012 and I excel at combining industry expertise with quantitative solutions to solve the problem at hand.I regularly perform statistical analysis using R, while also having training in Python, Excel, SAS, Matlab and STATA.