James Kingsley

I’m a strategic and highly analytical Senior Data Scientist with over 5 years of experience building end-to-end machine learning solutions and scalable data systems. I specialize in Causal Inference, A/B Testing, and Predictive Modeling, backed by a strong mathematical foundation.

In my recent role as a Senior Data Scientist & Analyst (Data Systems) at Ontrac Technologies, I engineered automated self-service analytics frameworks and centralized dashboards using SQL and Python, increasing data accessibility by 60% while reducing ad-hoc reporting requests by 40%. I developed and deployed machine learning models on large-scale transaction datasets, identifying high-value growth trends that led to a 15% increase in annual operational efficiency.

I also focus heavily on production reliability: I partnered with Product and Engineering teams to architect automated data validation pipelines, ensuring 99.9% data integrity across core systems. I translate complex statistical findings into actionable executive roadmaps that influence product optimization and revenue-tracking systems.

Beyond industry work, I lead knowledge transfer as an AI & Data Science Instructor at NIIT, guiding training on deep learning, statistical modeling, causal inference, experiment design, and production-level MLOps for aspiring data professionals. As a freelance Senior Data Scientist & MLOps Engineer (Remote), I design end-to-end AI systems for clients, deploy predictive models via FastAPI, and build robust pipelines using Prefect and ClearML for monitoring, model drift detection, and automated experimentation.