Data & analytics builder focused on automation, decision support, and practical AI.
I work at the intersection of analytics and implementation, with experience in the energy sector and other regulated environments. I build dashboards, internal tools, and AI-assisted workflows that make complex information easier to understand and act on.
My work sits close to real operations, where clarity, reliability, and maintainability matter as much as technical depth. I am most effective when translating messy business questions into structured analysis, repeatable workflows, and useful software. I care about systems that reduce manual work, improve visibility, and help teams make better decisions.
- Analytics and decision-support assets that turn complex data into clear dashboards, metrics, and reporting workflows.
- Automation and internal tooling that remove repetitive work, improve consistency, and make processes more reliable.
- Practical AI experiments, especially lightweight assistants and retrieval workflows that support research and analysis.
A Windows tray utility built in Python that keeps a machine awake through configurable strategies, persistent preferences, localization, and automated packaging workflows. It reflects the way I like to build software: scoped clearly, documented well, and shipped with operational polish.
- Python, SQL, and JavaScript for application logic, scripting, and data work.
- Power BI, data modeling, and reporting design for analytics and decision support.
- GitHub Actions, Docker, and workflow automation for delivery and repeatability.
- LLM prototyping, retrieval workflows, and vector databases for practical AI tooling.