Orfeas Kypris
About Orfeas Kypris
Orfeas Kypris is a data scientist with extensive experience in algorithm development and data aggregation. He currently works at DataKind UK, A.Team, and Codementor, providing mentorship and applying his skills to solve complex problems.
Work at A.Team
Orfeas Kypris has been employed as a Data Scientist at A.Team since 2021. In this role, he contributes to various projects, applying his expertise in data science to solve complex problems. His work involves leveraging data to drive insights and support decision-making processes within the organization.
Current Roles in Data Science
In addition to his position at A.Team, Orfeas Kypris serves as a Data Scientist at DataKind UK since 2021. His responsibilities include utilizing data science methodologies to address social issues. He also works as a Technology Mentor at Codementor, where he has been providing guidance in programming and data science since 2022.
Education and Expertise
Orfeas Kypris holds a Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering from Iowa State University, where he studied from 2011 to 2015. He also completed a Master of Science in Magnetics at Cardiff University from 2009 to 2010. Additionally, he earned a Bachelor of Engineering (BEng) in Electrical and Electronic Engineering from Cardiff University from 2006 to 2009. His educational background supports his strong focus on algorithm development and data aggregation.
Professional Background
Orfeas Kypris has a diverse professional background in data science and research. He worked as a Postdoctoral Research Assistant at the University of Oxford from 2015 to 2017 and held the position of Data Science Fellow at Science to Data Science for one month in 2017. Prior to his current roles, he was a Research and Development Engineer at IKNOWHOW SA from 2018 to 2021 and worked as a Data Scientist and Systems Developer at Navenio Ltd from 2017 to 2018.
Mentoring and Problem Solving
Orfeas Kypris provides one-on-one mentoring sessions focusing on programming, data science, and machine learning. He enjoys solving challenging problems that have societal impacts, utilizing his mathematical and software development skills to create effective solutions.