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Denis0242/README.md

Hi, Denis 👋

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.


🚀 Featured Analytics Projects

🏥 Patient CareFlow Analytics

Healthcare journey analytics platform tracking patient progression, engagement, operational KPIs, and treatment outcomes.

Key Focus

  • Patient journey analytics
  • Funnel drop-off analysis
  • Operational KPI monitoring
  • Treatment progression analytics
  • Healthcare dashboarding

Tools

Tableau SQL Python Healthcare Analytics

🔗 Repo: Patient-Careflow

Live App: https://patient-careflow-yemkrdq4v4juckh6pucppe.streamlit.app


💙 Patient Engagement Dashboard

Healthcare engagement analytics dashboard evaluating patient activity, operational efficiency, and treatment engagement trends.

Key Focus

  • Patient engagement analytics
  • Healthcare KPIs
  • Cohort retention
  • Operational monitoring
  • Digital health reporting

Tools

Tableau SQL Power BI

🔗 Repo: Patient-Engagement

Live App: https://patient-engagement-edwl7deyvnvbtlq8gns5mt.streamlit.app


🔄 Churn & Retention Analytics

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

Key Focus

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

Tools

Python SQL Tableau Scikit-learn

🔗 Repo: Churn-Retention

Live App: https://churn-retention-cuagwu7swbhet5jpkpkymu.streamlit.app


📈 Customer Journey Analytics

Product analytics dashboard analyzing user funnels, customer behavior, conversion trends, and engagement patterns.

Key Focus

  • Funnel analytics
  • Conversion optimization
  • User behavior analytics
  • Customer lifecycle analysis
  • Journey mapping

Tools

SQL Tableau Python

🔗 Repo: Customer-User-Journey

Live App: https://customer-user-journey-angajdddvhacljvmgl28x5.streamlit.app


🎯 North Star Metric (NSM) Dashboard

Executive product health dashboard tracking activation, conversion, retention, churn, and engagement KPIs.

Key Focus

  • KPI engineering
  • Product health monitoring
  • Executive reporting
  • Product growth analytics
  • Engagement metrics

Tools

Tableau SQL Python

🔗 Repo: North-Star-Metric

Live App: https://north-star-metric-9i3ywkxnbkcqzqqyqqqyyo.streamlit.app


🧪 Experimentation Readout Dashboard

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

Key Focus

  • KPI comparison analysis
  • Customer engagement trends
  • Retention monitoring
  • Behavioral analysis
  • Experiment reporting support

Tools

Python Statsmodels SQL Tableau

🔗 Repo: Experimentation-Readout

Live App: https://experimentation-readout-ylxtwuapppudogjpvpncs6k.streamlit.app


📊 Analytics & Product Analytics Skills

  • 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

🧠 Experimentation & Analytics

  • A/B Testing Analysis
  • KPI Lift Evaluation
  • Statistical Comparisons
  • Engagement Trend Analysis
  • Experiment Readouts
  • Product Performance Monitoring
  • Cohort Retention Tracking

🛠️ Tech Stack

Analytics & BI

SQL Tableau Power BI

Programming & Data

Python Pandas

Data Platforms & Workflow

AWS Snowflake Redshift Alteryx

Apps & Deployment

Streamlit GitHub


📌 KPI & Metrics Focus

  • Activation Rate
  • Conversion Rate
  • Funnel Drop-off %
  • D1 / D7 / D30 Retention
  • Customer Churn
  • Engagement Score
  • Patient Retention
  • Product Health Metrics
  • Executive KPI Monitoring

🧾 SQL Showcase

SQL Techniques Used Across Projects

  • CTEs
  • Window Functions
  • Joins
  • Aggregations
  • Cohort Queries
  • Funnel Queries
  • Retention Analysis
  • KPI Engineering

📷 Dashboard Showcase

Tableau Dashboards

  • Patient CareFlow Dashboard
  • Patient Engagement Dashboard
  • Customer Churn & Retention Dashboard
  • Customer Journey Analytics Dashboard
  • North Star Metric (NSM) Dashboard
  • Experimentation Readout Dashboard

🏆 Certifications

  • Tableau Desktop Specialist
  • Generative AI
  • Data Science — Digicrome

🎯 Career Focus

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.

Pinned Loading

  1. Patient-Careflow Patient-Careflow Public

    Healthcare product analytics dashboard for patient journey, retention, operational KPIs, and careflow optimization using Tableau, SQL, and Python.

    Python

  2. Patient-Engagement Patient-Engagement Public

    Healthcare product analytics system analyzing patient engagement, retention, care pathways, and behavioral trends using SQL, Python, Tableau, and predictive analytics to support data-driven healthc…

    Python

  3. Churn-Retention Churn-Retention Public

    Customer churn and retention analytics project focused on user behavior, retention trends, cohort analysis, KPI tracking, and business decision-making using SQL, Tableau, Python, and Streamlit.

    Python

  4. Customer-User-Journey Customer-User-Journey Public

    End-to-end product analytics project analyzing customer journeys, conversion funnels, retention, and engagement metrics (DAU/MAU) to drive product optimization and data-driven decisions.

    Python

  5. North-Star-Metric North-Star-Metric Public

    North Star Metric (NSM) & Executive Product Health Dashboard analyzing user growth, retention, engagement, conversion funnels, and KPI performance to support data-driven product decisions.

    Python

  6. Experimentation-Readout Experimentation-Readout Public

    A product experimentation and A/B testing analytics project focused on conversion, retention, KPI impact analysis, statistical testing, and data-driven product decision making using SQL, Python, Ta…

    Python