Savelie Cornegruta
About Savelie Cornegruta
Savelie Cornegruta is a Machine Learning Engineer with extensive experience in data science and engineering roles across various companies. He has worked at Prospective.io, Zego, and Redgate Software, and has a strong academic background in engineering and machine learning from the University of Oxford and UCL.
Current Role at Redgate Software
Savelie Cornegruta is currently employed as a Machine Learning Engineer at Redgate Software. He has been in this position since 2024, contributing his expertise in machine learning to the company's projects. His role involves applying advanced algorithms and data analysis techniques to enhance software solutions.
Previous Experience at Prospective.io
Before joining Redgate Software, Savelie worked at Prospective.io as a Data Scientist from 2016 to 2021. During his five years in this role, he focused on risk costing in the motor insurance industry and engaged in large-scale transport modeling problems. His work contributed to the development of data-driven insights within the organization.
Experience at Zego
Savelie served as a Senior Data Scientist at Zego from 2021 to 2023. In this position, he applied his data science skills to improve the company's operations and analytics capabilities. His tenure at Zego lasted for two years, during which he played a key role in various data-centric initiatives.
Educational Background
Savelie Cornegruta holds a Master of Science (MSc) in Machine Learning from University College London (UCL), which he completed between 2014 and 2015. He also earned a Master of Engineering (MEng) in Engineering Science from the University of Oxford, where he studied from 2003 to 2007. His educational background provides a strong foundation for his work in machine learning and data science.
Research Experience at King's College London
Savelie worked as a Research Associate at King's College London from 2015 to 2016. During this time, he conducted research in Natural Language Processing within the Biomedical Engineering Department. This experience allowed him to explore advanced computational techniques and their applications in healthcare.