I work where analytics, business thinking, and interface design overlap.
My best work usually looks like this:
- take a noisy dataset or business problem
- model it into something decision-ready
- ship it inside a dashboard or UI that feels polished and easy to trust
So whether the job is SQL + Power BI, Python analysis, or a React/Tailwind dashboard, the goal stays the same: make complexity feel simple.
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Core stack → SQL, Python, Power BI, Excel, Tableau
Frontend layer → React, JavaScript, HTML, CSS, Tailwind CSS
Sweet spot → Dashboards, BI products, analytics apps, decision-support UI
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SQL + Power BI + Power Query A healthcare operations project focused on waitlists, specialty demand, and bottleneck visibility. Why it matters
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Python + machine learning + retention analysis A churn project built around identifying risk signals and retention opportunities from customer behavior. Why it matters
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Exploratory analytics + pricing insight An analysis project focused on what actually drives property value and market behavior. Why it matters
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Frontend presentation + personal brand UI A visual portfolio space to present work, strengths, and project direction with a cleaner frontend lens. Why it matters
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| Track | What I enjoy solving |
|---|---|
| BI & Reporting | KPI dashboards, executive reporting, operational visibility, business summaries |
| Analytics | churn analysis, forecasting, trend discovery, segmentation, insight generation |
| Frontend | dashboard interfaces, analytics UIs, component structure, responsive layouts |
| Data Products | tools where metrics, usability, and decision-making need to work together |
Think clearly.
Design cleanly.
Explain simply.
Ship useful things.
If you’re into analytics dashboards, Power BI work, SQL/Python analysis, or frontend-heavy data products, take a look around the repos or reach out.