Kilian W.
About Kilian W.
Kilian W. is a Data Analyst specializing in Renewable Energy at AXIS Capital in London, where he has worked since 2021. He has a diverse background in machine learning, research, and education, with experience in strategic decision-making and programming.
Work at AXIS Capital
Kilian W. has been employed at AXIS Capital as a Data Analyst in Renewable Energy since 2021. In this role, he is based in London, England, and has accumulated three years of experience. His responsibilities include analyzing data related to renewable energy projects and contributing to strategic decision-making processes within the company.
Previous Experience in Machine Learning
Before joining AXIS Capital, Kilian worked as a Machine Learning Engineer at Energia for a brief period in 2021. His role involved developing machine learning models, which provided him with end-to-end experience in the design, development, and deployment of these systems. This experience complemented his analytical skills in the renewable energy sector.
Educational Background in Renewable Energy
Kilian W. studied at Greentech Skillnet Ireland, where he focused on Renewables and completed an Introduction to Wind program in 2021. His educational journey also includes a Master of Science in Strategy and Innovation from Maynooth University, which he pursued from 2014 to 2020. His studies have equipped him with a solid foundation in both technical and strategic aspects of renewable energy.
Consulting and Research Experience
Kilian has consulting experience with organizations such as Dublin Airport Authority and Cortex Analytics. He has also worked as an Assistant Researcher at both the School of Business Maynooth University and St. Vincent's University Hospital. His research contributions include authoring a thesis on leveraging information systems to enhance innovation in third-level institutions.
Language and Technical Skills
Kilian is fluent in three languages: French, English, and Spanish, which enhances his communication capabilities in diverse environments. He possesses advanced programming skills in JavaScript and Python, along with proficiency in Arduino programming. Additionally, he has experience in designing and developing web and Android applications, integrating machine learning models into these projects.