Technical Consultant | Systems Analyst | Business Systems Analyst
I turn ambiguous operational problems into clear requirements, practical workflows, implementation-ready documentation, and results people can trace and review. My work connects systems analysis, data-quality rules, SQL, testing, and straightforward communication.
Portfolio: tyler-windes.com
A Python and SQL project for turning inconsistent synthetic intake into validated, traceable results. I designed it around a simple principle: uncertainty should remain visible rather than being converted into an unsupported fact.
- translated requirements and acceptance criteria into executable rules;
- separated valid and review-required records;
- preserved raw-to-normalized traceability;
- reconciled SQLite, SQL exports, and generated reports; and
- used JSON Schema, OpenAPI, Postman, automated tests, and CI.
I value clear reasoning, honest limitations, and evidence that can be checked. I use AI-assisted tools for brainstorming, drafting, refactoring, test ideas, and consistency review, while keeping human judgment and final accountability explicit.
My background combines regulated business operations, client-facing problem solving, process design, documentation, and technical systems training. That perspective keeps my technical work focused on practical decisions and usable handoffs.
Technical training includes the University of Denver Cybersecurity Boot Camp, a 240-hour completed program in 2022.