Mr. Williams Ossai | Renewable Energy | Best Researcher Award
Data and Analytics Specialist at Summit Media, Hull, United Kingdom
Williams Ossai is a UK-based Data and Analytics Specialist with a solid background in Artificial Intelligence, Data Science, and Physics/Electronics. He is known for integrating machine learning solutions into sectors such as energy, media, and healthcare. His work effectively bridges the gap between industry and applied research, particularly focusing on renewable energy adoption and health data science for social impact. He also engages in consultancy, offering data-driven strategies to top-tier organizations in emerging markets.
Publication Profile
Educational Background 🎓
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Master’s Degree in Artificial Intelligence and Data Science,
University of Hull, United Kingdom -
Undergraduate Background in Physics/Electronics
(Institution not specified in the form)
Professional Experience 💼
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Current Role: Data and Analytics Specialist, Summit Media, Hull, United Kingdom
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Sector Experience:
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Energy: Market analytics, renewable energy modelling
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Media: Data insights, analytics strategy
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Health: Epidemiological data modelling with UK Biobank
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Consultancy Roles:
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Alpha One Solutions Limited: Analytics and strategy for renewable energy in emerging markets
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Jinko Solar Co., Ltd: Strategy modelling across 11 West African countries
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Research Interests 🔬
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Applied Machine Learning
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Renewable Energy Analytics
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Health Data Science
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Predictive Modelling for Social Impact
Research Projects
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Completed:
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Machine learning-based predictive modelling of renewable energy adoption
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Improved ML approach for predicting solar energy adoption
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Ongoing:
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Association between physical activity and dementia in cancer populations (UK Biobank)
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Awards and Honors🏆✨
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Nominated for: Best Researcher Award under the Global Innovation Technologist Awards
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Editorial Appointments: None currently
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Professional Memberships:
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Faith Driven Entrepreneurs
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Collaborations
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Co-author: Dr. Temitayo Fagbola
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Affiliation: Centre of Excellence for Data Science, AI & Modelling, University of Hull
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Conclusion🌟
Mr. Williams Ossai exhibits strong interdisciplinary expertise, integrating advanced analytics with domain knowledge to address global challenges. Although he has no formal academic publications or citations yet, his practical research applications, industry collaborations, and published books illustrate a trajectory focused on innovation and real-world impact. His work contributes to sustainable development and healthcare improvements in both developed and developing nations. His profile presents a strong case for recognition under the Best Researcher Award, with room to grow in academic dissemination and scientific publishing.
Publications 📚
📝 Ossai, Williams, and T. M. Fagbola. “Machine learning-based predictive modelling of renewable energy adoption in developing countries.” 🌱 Energy Reports, vol. 14, 2025, pp. 66–84.