David Ojinnaka
About David Ojinnaka
David Ojinnaka is a Senior Telecommunication Data Analyst at Ofcom, with a background in Electrical and Electronics Engineering and Communication Engineering. He has extensive experience in telecommunication technologies, big data analysis, and machine learning.
Work at Ofcom
David Ojinnaka has been serving as a Senior Telecommunication Data Analyst at Ofcom since 2021. In this role, he focuses on analyzing telecommunication data to support regulatory functions and improve communication services. Prior to this position, he worked as a Spectrum Technology Engineer from 2015 to 2021, where he contributed to the management and analysis of spectrum resources. His career at Ofcom began as a Graduate Spectrum Engineer from 2013 to 2015, during which he gained foundational experience in spectrum management and telecommunications.
Education and Expertise
David Ojinnaka holds a Bachelor’s Degree in Electrical and Electronics Engineering from the University of Nottingham, where he studied from 2005 to 2008. He furthered his education by obtaining a Master’s Degree in Communication Engineering from the University of York, completing his studies in 2011. His educational background provides him with a strong foundation in engineering principles, which he applies in his current role. He has developed expertise in big data analysis and machine learning, enhancing his capabilities in telecommunication data analysis.
Background
David Ojinnaka has a background that supports his exploration of new and emerging communication technologies. His work experience at Ofcom spans over eight years, during which he has held various positions that allowed him to develop a comprehensive understanding of telecommunications. His roles have involved both practical engineering and analytical tasks, enabling him to contribute effectively to the field.
Achievements
Throughout his career at Ofcom, David Ojinnaka has actively sought innovative solutions and continuous improvements in telecommunications. His focus on enhancing telecommunication data analysis through the application of big data and machine learning reflects his commitment to advancing the industry. His work has contributed to the effective management of spectrum resources and the development of communication technologies.