I'm a Healthcare Data Analyst with a passion for using data to solve real problems in clinical care, public health, and population health management. I work across the full analytics pipeline from wrangling messy real-world datasets to building predictive models and designing dashboards that actually get used by decision makers.
My background sits at the intersection of health informatics and applied machine learning, and I'm especially drawn to projects where the analysis can change how care is delivered or how health policy gets made.
Languages & Tools
Python · R · SQL · SAS · Tableau · Power BI · Excel
Libraries & Frameworks
Pandas · NumPy · Scikit-learn · Matplotlib · Seaborn · ggplot2
Domains
Clinical Analytics · Public Health · EHR Data · Predictive Modeling · Health Equity Research
🔗 Explore all 9 interactive dashboards → — KPIs, charts, and data-provenance notes built from the projects below.
| Project | What It Does | Tools | Dashboard |
|---|---|---|---|
| BRFSS Transgender Health Analysis | Descriptive analysis of health disparities in transgender populations using CDC BRFSS survey data | R, tidyverse | View → |
| Chronic Kidney Disease Prediction | ML model (Random Forest + Logistic Regression) predicting CKD onset from clinical lab values | Python, Scikit-learn | View → |
| Public Health & Tobacco Mortality Trends | Time-series analysis of tobacco use rates and mortality patterns across U.S. states | Python, Pandas, Matplotlib | View → |
| Oral Health Determinants | Regression analysis exploring socioeconomic and behavioral drivers of oral health outcomes | Python, Seaborn | — |
| Flight Price Classification | SVM classification of Indian domestic flight prices and destinations | Python, Scikit-learn | View → |
| Retail Sales Data Analysis | Revenue trends and demand patterns across categories and demographics | Python, Pandas | View → |
- 🎓 Graduate studies in Health Data Science / Health Informatics
- 🏥 Focused on clinical decision support, health equity, and population health analytics
- 🌱 Currently deepening expertise in NLP applications for clinical notes and EHR data
- 📍 Open to Healthcare Data Analyst, Clinical Analyst, and Health Informatics roles
"The goal is to turn data into information, and information into insight."