Obinna Okoye

Obinna Okoye


A seasoned Data Scientist with a diverse background across industries, including medical devices, mortgage finance, and retail banking. With extensive experience as a Data Scientist at Johnson & Johnson, Analytics Manager at Pepper Money UK and roles at First Bank of Nigeria Ltd, I have honed my expertise in data analytics, artificial intelligence, and machine learning.

Armed with a Master's in Applied Artificial Intelligence and Data Analytics and accreditation from the ACCA, I bring a unique blend of academic rigor and practical experience to my work. I am passionate about leveraging data science to drive innovation, foster inclusivity, and make informed decisions across various sectors.

I am known for my engaging presentations and ability to distill complex concepts into actionable insights. I am committed to sharing my knowledge and expertise to empower individuals and organizations to harness the power of data for strategic decision-making and sustainable growth.

With my dynamic speaking style and wealth of expertise, I am dedicated to making a positive impact in the field of data science, inspiring others to embrace innovation and drive positive change in their respective fields.

Research interests

As a Data Scientist, my research interests are focused on harnessing the power of data analytics, artificial intelligence (AI), and machine learning (ML) to drive innovation and improve business outcomes. Here is an updated overview of my research focus:

1. Data-Driven Decision Making: I am passionate about empowering businesses to make informed decisions by leveraging data analytics. My research involves developing advanced analytics models and algorithms to extract actionable insights from large datasets, enabling organizations to optimize operations, enhance customer experiences, and gain a competitive edge in the marketplace.

2. AI and ML Applications in Business: I am interested in exploring the diverse applications of artificial intelligence and machine learning in various business domains. From predictive analytics and demand forecasting to recommendation systems and process automation, my research seeks to identify opportunities for integrating AI and ML technologies into business processes to drive efficiency, innovation, and growth.

3. Business Intelligence and Strategic Planning: I am committed to research that enhances business intelligence and strategic planning capabilities. By developing predictive models, data visualization tools, and performance dashboards, my research aims to provide executives and decision-makers with actionable insights and foresight to anticipate market trends, identify growth opportunities, and mitigate risks.

4. Ethical AI and Responsible Innovation: I recognize the importance of ethical considerations in the development and deployment of AI technologies. My research explores ethical frameworks and best practices for ensuring fairness, transparency, and accountability in AI-driven business applications. By promoting responsible innovation, I strive to build trust with stakeholders and foster a culture of ethical decision-making in the business community.


  • MSc - Applied Artificial Intelligence and Data Analytics

Professional memberships

  • ACCA - Association of Chartered Certified Accountants

Research groups and institutes

  • Centre for Operations and Supply Chain Research