Mr. Williams Ossai, Summit Media, United Kingdom
Mr. Williams Ossai is a Data and Analytics Specialist at Summit Media, Hull, UK π¬π§. He holds a Masterβs degree in Artificial Intelligence and Data Science π€π from the University of Hull, with an academic background in Physics/Electronics β‘. His work spans energy, media, and healthcare sectors, where he applies machine learning for impactful decision-making. Williams is actively involved in research on renewable energy adoption π± and dementia in cancer populations π§ , utilizing UK Biobank data. His contributions bridge innovation and social impact, transforming complex data into actionable insights for sustainability, healthcare improvement, and global development
Publication Profile
Google Scholar
π Academic & Professional Background
Mr. Williams Ossai is a skilled Data and Analytics Specialist with a Masterβs degree in Artificial Intelligence and Data Science π€π from the University of Hull, and an academic foundation in Physics/Electronics β‘. His career spans key sectors including energy β‘, media π₯, and healthcare π₯, where he employs advanced analytics and machine learning to derive actionable insights. Beyond his professional role, he conducts applied research, notably modeling renewable energy adoption π± and examining dementia prevalence in cancer populations π§ using UK Biobank data. His work seamlessly connects industry innovation with impactful research for measurable social progress
π Research & Innovations
Mr. Williams Ossai is actively contributing to impactful applied research projects using machine learning π€ and data science π. His completed works include predictive modelling for renewable energy adoption in developing countries πβ‘, and an enhanced ML approach for forecasting solar energy integration βοΈ. Currently, he is exploring the association between physical activity and dementia in cancer populations π§ πββοΈ using large-scale health data. These interdisciplinary studies bridge environmental sustainability and healthcare analytics. While his citation index is currently at zero, his ongoing projects hold strong potential for academic recognition and real-world application
π Areas of Research
Mr. Williams Ossaiβs research spans several high-impact domains at the intersection of technology and society π. His core focus lies in Applied Machine Learning π€, where he develops intelligent systems for real-world decision-making. He is deeply engaged in Renewable Energy Analytics β‘π±, building predictive models that support sustainable energy transitions. His work in Health Data Science π§¬π₯ leverages big data to improve population health outcomes. Additionally, he specializes in Predictive Modelling for Social Impact ππ‘, using data-driven strategies to solve global challenges. These interdisciplinary areas reflect his commitment to innovation, sustainability, and measurable social progress.
Publication Top Notes
π Machine Learning-Based Predictive Modelling of Renewable Energy Adoption in Developing Countries
π An Improved Machine Learning Approach for Predicting Solar Energy Adoption in Developing Countries
π Exploring the Association Between Physical Activity and Dementia in Cancer Populations