Academic

Industrial success is underpinned by a strong academic background in contrasting fields having completed a PhD in Business and Management, an MBA, as well as first-rated Mathematical, grounded Masters and Bachelors qualifications. Had a highly impactful career in academia having been a teacher prior to being a supervisor at the University of Cambridge.

Academic Experience

Valuable teaching experience followed by a directorial position in an academic trust through developed strong interpersonal relationships led teaching, mentoring, coaching, and people development initiatives.

Enhanced the business & organizational leadership understanding of technological & engineering students as an academic supervisor.

Involved in developing high-quality research practices with a goal of enhancing knowledge as a research associate:

  • Identified the sources of funding, prepared research proposals & determined areas of research
  • Planned and carried robust industry-standard experiments, interviews & surveys in accordance with the subject under investigation
  • Collected and analysed both qualitative & quantitative data
  • Interpreted data analysis results which ultimately influenced policymakers
  • Employed research results to write reports, papers, and reviews
  • Presented the findings in thesis, papers & conferences

Qualifications

PhD. Business & Management   
Norwich Business School

MBA Marketing & Business Analytics    
Cardiff Metropolitan University

MEd Mathematics   
Homerton College, University of Cambridge

National Professional Qualification for Senior Leadership 
NCSL

Diploma in Computer Hardware & Software Engineering   
Links Computer School

BSc Industrial Mathematics
University of Benin

Professional Development

  • Advanced Analytics Summer School | Utrecht University
  • IT Leadership: Succeeding in the CIO/CTO/IT Director role | CIO Academy
  • Lean Management Certification; Six Sigma Green Belt Certification | Six Sigma Academy Amsterdam
  • Machine Learning | Stanford University
  • Big Data and Education | University of Pennsylvania
  • Machine Learning A–Z with Python and R; Deep Learning with Python | Super Data Science Academy
  • Mastering Agile Project Delivery and SCRUM | Lifelong Learner
  • Advanced Machine Learning (From classification to deep learning) | Cambridge Spark
  • Big Data Analytics – Cloud Architecture | Cambridge Spark