Understand the US Elections with Data Science Feat. Jupiter Asset Management

The leader of the free world will be elected in just under a month’s time. While sophisticated models from the Economist and FiveThirtyEight both put Joe Biden in front, it is by no means a certainty. In this talk, we demonstrate an end-to-end project in Data Science Studio (DSS) that can deliver timely insights into the presidential races in each state. We show how DSS can be used to: + Collect + Transform + Present data All the while giving stakeholders the ability to customise specific attributes. Lastly, we illustrate how DSS can be used in conjunction with other common technologies, simplifying how data science teams can interact with other areas of the business. About the speaker: Leo Murison is a data scientist at Jupiter Asset Management, a leading active fund management house with ~£56 billion of assets under management. Since joining in September 2019, he has helped produce a number of highly predictive machine learning models leverage alternative data, including the first productionised model using Dataiku. Previously, Leo worked in the data science team at DAZN, a global sports streaming service with millions of global subscribers, where he developed models to predict customer behaviour. Leo holds a degree in Neuroscience from Edinburgh University.