ANTONY MUDIMBA

I’m a results-driven Data Scientist and Machine Learning Engineer with 3+ years of end-to-end experience across healthcare, political analytics, business intelligence, and education. I love taking messy data through wrangling, exploratory analysis, and statistical modeling to deploy production-grade ML and deep learning systems.

In my recent role, I designed and maintained end-to-end pipelines to unify multi-source sales and operational data, then built predictive models to forecast crop yield, demand trends, and market pricing—improving procurement planning accuracy by an estimated 25%. I also replaced manual reporting with interactive Tableau and Power BI dashboards to deliver real-time KPI visibility, while applying NLP sentiment analysis to guide marketing strategy.

I’m equally hands-on with deployment and operations: I built production APIs (Flask/FastAPI), containerized services with Docker, and supported CI/CD-style updates. In healthcare, I delivered a supervised readmission risk model (AUC 0.87) with SHAP interpretability, and in finance I built real-time credit risk scoring on AWS EC2 processing transactions in under 200 milliseconds.

I thrive in agile, stakeholder-facing environments where clarity matters. I translate complex findings into actionable recommendations for both technical and non-technical partners, and I’m actively seeking challenging Data Science, Machine Learning, and AI opportunities—remote, local, or international.