James Kingsley

I’m a Data Scientist & Machine Learning Consultant with 5+ years of experience delivering end-to-end AI solutions across credit risk, fintech, and analytics. I lead projects from problem definition to deployment, translating complex data insights into business value while bridging technical and business teams. I’m especially passionate about building scalable business intelligence and AI systems that support data-driven strategy and innovation.

In my recent senior role, I developed predictive models on large-scale transaction and behavioral datasets to identify customer risk patterns and improve decision-making accuracy. I built and deployed automated data pipelines and analytics systems using Python and SQL, improving data accessibility by 60%, and implemented data validation and monitoring frameworks to ensure reliable production outcomes. I also collaborated with product and engineering teams to integrate models into business workflows and decision systems.

At a microfinance bank, I developed and optimized automated credit scoring models to assess Probability of Default (PD), significantly reducing non-performing loan (NPL) ratios. I designed end-to-end MLOps pipelines for real-time loan approval workflows, integrated automated feature engineering and model monitoring, and supported IFRS 9 compliance. I also drive optimization through A/B testing and deliver leadership-ready insights via dashboards that improve portfolio performance and operational efficiency.