Joel Castro

I’m an experienced software engineer and data scientist with 7+ years of building scalable, data-driven applications and solutions. I bring hands-on depth across Python, C#, SQL, .NET, and modern web development (React.js, Next.js), plus analytics and spatial intelligence.

At the City of El Paso, TX, I developed a risk modeling framework for city traffic safety using advanced spatial analysis and data visualization. I used hexagonal Self-Organizing Maps (SOMs) to quantify localized safety risks, and I built and deployed interactive dashboards using Next.js, MaterialUI, and ArcGIS REST services, including Experience Builder deployments. I also deliver documentation and training to help stakeholders make data-driven decisions.

Previously, as a Data Scientist II at Battelle Memorial Institute, I engineered REST APIs with .NET and Entity Framework for a data modernization initiative, improving efficiency by 600%. I developed PyTorch deep learning models for predictive analytics and managed end-to-end data pipelines that improved workflow efficiency and reliability, enabling faster, more informed decision-making. Earlier at ExxonMobil, I led solutions using machine learning to reduce computational processing time by up to 80%, built RESTful APIs for SQL Server, and mentored teams while implementing DevOps practices, CI/CD, and code review workflows.