Jonathan Bourne
About Jonathan Bourne
Jonathan Bourne is a Data Scientist with extensive experience in data analysis and algorithm development. He has worked in various roles across multiple companies and holds advanced degrees in Data Science and Mechanical Engineering.
Work at SilverStream Technologies
Jonathan Bourne has been employed as a Data Scientist at SilverStream Technologies since 2022. In this role, he focuses on data analysis and modeling to enhance the company's technological offerings. His work includes designing innovative models that improve operational efficiency and contribute to the company’s objectives in the energy sector.
Education and Expertise
Jonathan Bourne holds a Doctor of Philosophy (Ph.D.) in Complex Networks and Data Science from University College London (UCL), where he studied from 2017 to 2021. He also earned a Master’s Degree in Data Science from UCL in 2016. Additionally, he completed a Master’s Degree in Mechanical Engineering at The University of Manchester from 2003 to 2007. His educational background equips him with a strong foundation in data analysis, algorithm development, and engineering principles.
Professional Background
Jonathan Bourne has a diverse professional background in data science and engineering. He worked at General Electric as a Proposal Analyst from 2009 to 2011 and served as a Sales Support Engineer at Roxar from 2007 to 2009. He held the position of Maintenance Analyst at Statkraft from 2012 to 2016 and worked briefly as a Data Scientist at the Financial Conduct Authority in 2016. Additionally, he was a Ph.D. student at UCL from 2017 to 2021.
Achievements in Data Science
Jonathan Bourne has made significant contributions to the field of data science. He led a team to success at the US Department of State's 2017 Zoo hackathon, developing an image recognition tool aimed at anti-poaching efforts using deep learning techniques. He also created a predictive model for power plants that combines expert intuition with statistical sampling to evaluate lifetime and failure risks. Furthermore, he developed the SETSe algorithm, which is utilized in various applications related to graph and network analysis.
GitHub Contributions
Jonathan Bourne maintains a GitHub repository that showcases his projects and contributions in data science and algorithm development. This repository serves as a portfolio of his work, demonstrating his skills in creating algorithms and models that address real-world problems in data analysis and engineering.