Sr Solution Architect, Data and ML engineer

Ryan has 15 years experience building decision support systems, developing automated reporting systems, and research design for ML. Capabilities and interests include:

– R, Python, d3.js, Docker, and various flavors of SQL

– Tabular data processing, natural language processing, and image processing services

– Experimental design and automated decision making via statistical and machine learning models

– Automated reporting, microservices (APIs),dashboards, and data-centered UI/GUI applications

– R package development for simpler deployments across many different technology stacks

– Able to work with cloud-based virtual machines, container services, and other managed services via DigitalOcean, AWS, and MS Azure