I build practical analytics and automation systems that turn messy business workflows into cleaner data, dashboards, follow-up queues, and decision briefs.
My strongest lane is the overlap between business operations, computer information systems, data analytics, and AI-enabled workflow automation. I like projects where the value is visible: a cleaner CRM export, a better operations dashboard, a ranked action queue, or a prototype that helps a team decide what to do next.
- Data analytics and business intelligence with Python, SQL, Excel-ready outputs, and dashboard workflows
- Operations automation for reporting, CRM cleanup, outreach tracking, and recurring decision loops
- AI operations systems that filter noisy signals, create action queues, and turn research into experiments
- Solutions engineering demos that explain a workflow clearly enough for a non-technical stakeholder to react
| Project | What it shows | Stack / focus |
|---|---|---|
| Business Operations Reporting System | Cleans messy service-operations data, creates KPI fields, analyzes bottlenecks, and produces management-ready dashboards | Python, SQL, SQLite, Excel, dashboard reporting |
| CRM Sales Pipeline Automation System | Turns messy CRM lead data into a scored pipeline, follow-up queue, sales-rep performance views, and executive summary | Python, SQL, CRM analytics, sales operations |
| AI Signal Routine | Monitors AI/tooling signals, ranks what matters, generates decision briefs, and creates mini-project ideas | Python, Streamlit, automation, AI operations |
| AlignDeskApp Demo | Static product validation demo for a chiropractic documentation workflow, built to test value before building a full SaaS product | HTML, CSS, JavaScript, workflow design |
I care about business usefulness first. A good technical project should answer a practical question, reduce manual work, or make a decision easier. My projects usually start with a messy real-world process, then move toward a repeatable workflow with clear outputs.
I am especially interested in roles around:
- Data Analyst / BI Analyst
- Operations Analyst
- Automation Analyst
- AI Operations / AI Workflow Specialist
- Solutions Engineering or Technical Sales Engineering
Python, SQL, SQLite, Excel, Streamlit, HTML/CSS/JavaScript, Git/GitHub, API workflows, dashboard/reporting systems, and AI-assisted development with Codex and Claude.