Sam brings a wealth of teaching experience as a Further and Higher education lecturer to ARU Peterborough. Sam has taught various subjects, from Algorithms and Advanced Programming to Data Analytics and Web Design. Sam is a member of the Nigeria Computer Society and a Google certified Cloud Data Engineer.
Email: [email protected]
Sam has over 15 years experience in data and software engineering, having worked across a range of industries including insurance, telecommunications, and oil and gas. Throughout his career, he has honed his expertise in developing robust data pipelines and cutting-edge software solutions, providing tangible value to businesses seeking to optimise their operations through technology. He brings a blend of academic expertise and practical industry experience to his role bridging the gap between theory and practical application. He is a Microsoft cloud ambassador for the Azure platform and has helped coordinate several software developer meetups.
As a Lecturer in Computing, Sam teaches a broad range of undergraduate, imparting his wealth of knowledge to the next generation of technology professionals. As a module leader, he takes a proactive approach to ensure that activities, resources, and assessments are effectively coordinated to provide students with the best possible learning experience.
Sam holds the prestigious Google Cloud Certified Data Engineer certification, which underscores his deep understanding of cloud technologies. He also serves as the organiser of the Google Developer’s Group in Leicester, bringing together developers to share insights and stay at the forefront of technological advancements. He is dedicated to empowering learners with the skills and mindset needed to succeed in an ever-evolving digital and business landscape. Whether in the classroom or within the broader tech community, Sam’s mission is to inspire and equip the next generation of professionals with the tools necessary to excel in today’s competitive world.
English and Yoruba
Member, Nigeria Computer Society
(PDF) Filtering Offensive Language in Online Communities using Grammatical Relations