About

James Vance is a skilled Machine Learning Engineer with over 8 years of relevant experience. He specializes in predictive analytics and optimization, but also has experience in SQL databases, Django web development, and deploying on AWS cloud. James is a proficient Python programmer and Data Scientist who has worked with various technologies such as Spark, Tensorflow, and Hadoop. Currently, James works at Amazon as a Machine Learning Engineer. Prior to this, he worked at compare.com as a Machine Learning Engineer and at Alion Science and Technology as an Associate Principal Data Scientist. At Alion Science and Technology, James led a team to develop a novel issue identification and resolution platform using machine learning. He also created classifiers in Tensorflow using program, machine, network node, and simulation data to predict specific event issues. James was responsible for architecting and developing a web application (FastApi) with alert dashboard, time series graphs, and network graph models in D3. Moreover, he provided data modeling support for schema design, indexing, and automated backups on Postgresql database. James used Spark with Hadoop for distributed processing of massive datasets and researched and developed data strategy for extracting data from various monitoring REST apps and streaming sources. James holds a Master's Degree in Systems Engineering from the University of Virginia, which he completed in 2015, and a Bachelor of Arts in English from the University of Kentucky, which he completed in 2010. James's TechStack includes ML, Web, SQL, AWS, Research Scientist, Data Scientist, Python, Django, Spark, Tensorflow, Hadoop, and Senior Software Engineer. With his extensive experience and expertise in machine learning and data science, James is a valuable asset to any team.