Neo4j graph ml

I am looking for a skilled developer to work on a Neo4j graph ml project. The project objective is to perform both graph visualization and graph analytics. Predicting Formula 1 using Graph Data Science Graph processing is becoming increasingly important for dealing with data which is connected in nature. Use cases include social media applications, fraud detection and recommender systems. In recent years the use of data science using graph-based representations has gained popularity and support is becoming more commonplace and powerful in graph databases such as Neo4J. The aim of this project is to derive insights and make predictions about Formula 1 motor racing based on graph data. The project will initially involve the construction of a graph representation of the Ergast data set [4], which provides detailed records of results, drivers, teams and racetracks from 1950 to date. This will allow the exploration, application and evaluation of a range of graph analysis techniques in order to determine the analytic or predictive value of this representation.