Data analyst focused on healthcare, customer behavior, and operational decision-making.
I turn messy datasets into clear findings, practical recommendations, and dashboards that help people make better decisions. My work spans exploratory analysis, data modeling, segmentation, forecasting, and business intelligence.
- Analysis: SQL, Python, R, Excel
- Visualization: Power BI, Plotly, Matplotlib, Seaborn
- Methods: data cleaning, exploratory analysis, KPI design, cohort analysis, customer segmentation, and forecasting
| Project | Focus | Tools |
|---|---|---|
| U.S. Healthcare Analytics | Hospital, patient, provider, and financial performance dashboard | Power BI, DAX, Excel |
| Retail Sales Insights | Sales trends, RFM segmentation, cohorts, churn, and reporting | Python, SQL, Power BI, Excel |
| Healthcare Network Optimization | Illustrative staffing allocation and geographic accessibility analysis | Python, Pandas, GeoPy, Folium |
| Bank Transaction Analysis | Customer, card, loan, and transaction patterns in relational banking data | Python, Pandas, Plotly, Seaborn |
I start with the decision a stakeholder needs to make, validate the data before modeling, and communicate limitations alongside the result. Repositories here are organized as case studies: problem, method, findings, and reproducible artifacts.