Data Analyst (Healthcare & Tech) | SQL • Tableau • KPI Reporting | Product Analytics (Funnels, Retention, A/B Testing)
📍 Oakland, CA
📧 Email
🔗 LinkedIn
📊 Tableau Public
🐙 GitHub
Data Analyst with 4+ years of experience across healthcare, insurance, and operational analytics environments, specializing in SQL-based analysis, KPI reporting, dashboard development, customer analytics, patient engagement, retention analysis, and operational reporting.
I build analytics solutions that transform customer, patient, and operational data into actionable business insights using SQL, Tableau, Power BI, Python, and Alteryx to improve KPI visibility, reporting efficiency, retention monitoring, and data-driven decision-making.
Healthcare journey analytics platform tracking patient progression, engagement, operational KPIs, and treatment outcomes.
- Patient journey analytics
- Funnel drop-off analysis
- Operational KPI monitoring
- Treatment progression analytics
- Healthcare dashboarding
Tableau SQL Python Healthcare Analytics
🔗 Repo: Patient-Careflow
Live App: https://patient-careflow-yemkrdq4v4juckh6pucppe.streamlit.app
Healthcare engagement analytics dashboard evaluating patient activity, operational efficiency, and treatment engagement trends.
- Patient engagement analytics
- Healthcare KPIs
- Cohort retention
- Operational monitoring
- Digital health reporting
Tableau SQL Power BI
🔗 Repo: Patient-Engagement
Live App: https://patient-engagement-edwl7deyvnvbtlq8gns5mt.streamlit.app
Retention analytics platform identifying churn drivers, engagement risks, and customer retention opportunities.
- Churn analysis
- Retention analysis
- Cohort analytics
- Customer segmentation
- Engagement monitoring
Python SQL Tableau Scikit-learn
🔗 Repo: Churn-Retention
Live App: https://churn-retention-cuagwu7swbhet5jpkpkymu.streamlit.app
Product analytics dashboard analyzing user funnels, customer behavior, conversion trends, and engagement patterns.
- Funnel analytics
- Conversion optimization
- User behavior analytics
- Customer lifecycle analysis
- Journey mapping
SQL Tableau Python
🔗 Repo: Customer-User-Journey
Live App: https://customer-user-journey-angajdddvhacljvmgl28x5.streamlit.app
Executive product health dashboard tracking activation, conversion, retention, churn, and engagement KPIs.
- KPI engineering
- Product health monitoring
- Executive reporting
- Product growth analytics
- Engagement metrics
Tableau SQL Python
🔗 Repo: North-Star-Metric
Live App: https://north-star-metric-9i3ywkxnbkcqzqqyqqqyyo.streamlit.app
Experimentation analytics dashboard evaluating conversion lift, retention impact, engagement trends, and A/B test performance.
- KPI comparison analysis
- Customer engagement trends
- Retention monitoring
- Behavioral analysis
- Experiment reporting support
Python Statsmodels SQL Tableau
🔗 Repo: Experimentation-Readout
Live App: https://experimentation-readout-ylxtwuapppudogjpvpncs6k.streamlit.app
- Funnel Analysis
- Retention & Churn Analytics
- Cohort Analysis
- KPI Monitoring
- Product Health Metrics
- Customer Journey Analytics
- A/B Testing Support
- Conversion Analysis
- Segmentation Analysis
- Dashboard Storytelling
- A/B Testing Analysis
- KPI Lift Evaluation
- Statistical Comparisons
- Engagement Trend Analysis
- Experiment Readouts
- Product Performance Monitoring
- Cohort Retention Tracking
- Activation Rate
- Conversion Rate
- Funnel Drop-off %
- D1 / D7 / D30 Retention
- Customer Churn
- Engagement Score
- Patient Retention
- Product Health Metrics
- Executive KPI Monitoring
- CTEs
- Window Functions
- Joins
- Aggregations
- Cohort Queries
- Funnel Queries
- Retention Analysis
- KPI Engineering
- Patient CareFlow Dashboard
- Patient Engagement Dashboard
- Customer Churn & Retention Dashboard
- Customer Journey Analytics Dashboard
- North Star Metric (NSM) Dashboard
- Experimentation Readout Dashboard
- Tableau Desktop Specialist
- Generative AI
- Data Science — Digicrome
Focused on building analytics systems that combine:
- Data Analytics
- Product Analytics
- Healthcare Analytics
- Experimentation
- KPI Monitoring
- Retention Analytics
- Executive Decision Support
to drive measurable business and operational impact.
This portfolio demonstrates an analytics ecosystem connecting healthcare, customer, and operational analytics through KPI reporting, customer journey analysis, retention monitoring, healthcare dashboards, and data-driven decision support.