Data Analyst (Healthcare & Tech) | Product Analytics | Experimentation | Tableau | SQL | Python

📍 Oakland, CA
📧 Email

🔗 LinkedIn
📊 Tableau Public
🐙 GitHub

Data Analyst with 4+ years of experience across healthcare, insurance, and product-focused analytics environments specializing in:

• Data Analytics
• Product Analytics
• Funnel Analysis
• Retention & Churn Analytics
• Experimentation & A/B Testing
• KPI & Executive Dashboarding
• Customer Journey Analytics
• Healthcare Analytics

I build modern analytics systems that transform operational, customer, and product data into actionable business insights supporting decision-making, retention improvement, and product optimization.

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

Experimentation analytics dashboard evaluating conversion lift, retention impact, engagement trends, and A/B test performance.

• Experiment analysis
• Variant vs control performance
• KPI lift analysis
• Product experimentation
• Statistical reporting

Python Statsmodels SQL Tableau

🔗 Repo: Experimentation-Readout

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

Retention analytics platform identifying churn drivers, engagement risks, and customer retention opportunities.

• Churn prediction
• Retention analysis
• Cohort analytics
• Customer segmentation
• Engagement monitoring

Python SQL Tableau Scikit-learn

🔗 Repo: Churn-Retention

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

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

• 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

• Product Funnel Analytics
• Churn & Retention Dashboard
• Experimentation Readout Dashboard
• Patient CareFlow Dashboard
• Executive KPI Dashboard
• Customer Journey Analytics

• Tableau Desktop Specialit
• Generative AI
• Deep Learning
• 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 more than isolated dashboards or analyses. It shows a connected product analytics system that moves from exploration and KPI reporting to journey analysis, retention modeling, experimentation, and product decision-making.