Michael Fayemiwo (PhD, FHEA)

Michael Fayemiwo (PhD, FHEA)

University Lecturer - Data Scientist

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  • Timeline

  • About me

    Researcher | Senior Data Scientist | Agile Coach

  • Education

    • Federal University Of Agriculture, Abeokuta

      2004 - 2009
      Bachelor of Science Computer Science
    • Obafemi Awolowo University

      2011 - 2013
      Master of Science Computer Science
    • Obafemi Awolowo University

      2014 - 2018
      Doctor of Philosophy - PhD Computer Science
  • Experience

    • Oduduwa University Ile-Ife

      Nov 2013 - Oct 2016
      University Lecturer - Data Scientist
    • Adeleke University

      Nov 2016 - Jan 2020
      University Lecturer - Data Scientist
    • Redeemer's University

      Jan 2020 - Jul 2022
      University Lecturer - Data Scientist
    • University of Northern British Columbia (UNBC)

      Jan 2021 - Dec 2021
      Postdoctoral Researcher - Data Scientist

      • created a machine learning research plan for the Patient Oriented Predictive Modelling of Healthcare Utilization (POP MHU) project.• applied machine learning to public health data in the Northern and Interior regions of British Columbia to predict transitions in health care, such as from independent living to long-term care.• carried out research in the combination of (1) planning and design, (2) implementation (in software), and (3) analysis of results (including manuscript preparation). Show less

    • Ulster University

      Dec 2021 - now
      Research Associate - Data Scientist

      • Developing imaging technology to accurately guide MWT applicator delivery by merging pre-procedure diagnostic CT imaging with real-time imaging in an agile environment.• Creating Machine Learning pipelines for medical image segmentation using TensorFlow and PyTorch frameworks.• Developing an end-to-end deep learning model using Python programming language.• Carrying out research in a combination of (1) planning and design, (2) implementation, and (3) analysis of results (including manuscript preparation).• Developing a machine learning pipeline, leveraging AutoML and hyperparameter tuning, and constructing a pipeline from scikit-learn, using the Azure ML SDK and Scrum framework.• Using Azure to configure a cloud-based machine learning production model, deploy it, and consume it.• Facilitating Scrum and Nexus events to solve common scaling challenges like reducing cross-team dependencies and preserving team self-management and transparency. Show less

  • Licenses & Certifications

    • Professional Scrum Master™ I (PSM I)

      Scrum.org
      Oct 2022
      View certificate certificate
    • Scaled Professional Scrum™ (SPS)

      Scrum.org
      Nov 2022
      View certificate certificate
    • Associate Fellow (AFHEA)

      Advance HE
      Jun 2023
    • Professional Scrum Master™ II (PSM II)

      Scrum.org
      Nov 2022
      View certificate certificate
    • Professional Agile Leadership™ I (PAL I)

      Scrum.org
      Dec 2022
      View certificate certificate
    • Fellow of the Higher Education Academy (FHEA)

      Advance HE
      Jun 2024