Abimbola Ayeni
About Abimbola Ayeni
Abimbola Ayeni is a Data Ops Support Analyst with extensive academic and professional experience in surveying, geoinformatics, and data operations. He has worked at various educational institutions and companies in Nigeria and the United Kingdom, holding roles that include lecturer, researcher, and project manager.
Current Role at Node4 Ltd
Abimbola Ayeni has been employed as a Data Ops Support Analyst at Node4 Ltd since 2022. This role is based in the United Kingdom and operates in a hybrid work environment. The position involves supporting data operations, which may include tasks related to data management, analysis, and ensuring the integrity of data processes.
Previous Experience at University of Lagos
Abimbola Ayeni worked at the University of Lagos for a total of 13 years, holding various positions. He served as a Lecturer from 2008 to 2021, where he was involved in teaching and academic responsibilities. Prior to that, he worked as a Research Assistant from 2003 to 2008 and as a GIS Laboratory Assistant from 1998 to 2000. These roles contributed to his expertise in surveying and geoinformatics.
Academic Background
Abimbola Ayeni has a strong academic background in surveying and geoinformatics. He earned a Bachelor of Science (B.Sc) degree from the University of Lagos from 1996 to 2000. He further pursued a Master of Philosophy (MPhil) in the same field from 2002 to 2008. Ayeni completed his Doctor of Philosophy (PhD) in Engineering Surveying and Space Geodesy at the University of Nottingham from 2016 to 2021.
Experience at University of Nottingham
At the University of Nottingham, Abimbola Ayeni worked as a Doctorate Researcher from 2016 to 2021, focusing on advanced research in his field. He also served as a Lead Invigilator from 2018 to 2021, overseeing examination processes. This experience enhanced his academic and administrative skills within a higher education setting.
Technical Skills and Expertise
Abimbola Ayeni possesses expertise in machine learning algorithms and object-oriented programming concepts. He has experience working in various development environments, including Waterfall, Agile, Scrum, and DevOps. His technical skills include proficiency in programming languages and tools such as Java, Python, R, Postman, and GitHub, which support his work in data operations.