A Machine Learning Engineer with a background in robotics and mechatronics system. My primary focus is in the areas of optimization and AI.
This session will give a quick demo of how we used Julia for our workflow of a financial analysis application. The application itself performs multi-objective optimization on historical stock data to create a pareto frontier of optimal risk - return combinations. We will talk about Julia's optimization packages such as JuMP and MultiJuMP, as well as its easy to use reporting and visualization packages such as Weave and Plots that help us communicate and visualize results.