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Denis0242/README.md

Denis Agyapong

Product Data Analyst | 2+ yrs Product Analytics | 4+ yrs Healthcare & Insurance Analytics

πŸ“ Oakland, CA
πŸ“§ Email

πŸ”— LinkedIn
πŸ“Š Tableau Public
πŸ™ GitHub


About Me

Product Data Analyst with 2+ years of product analytics experience and 4+ years in healthcare and insurance analytics, specializing in funnel optimization, A/B testing, retention strategy, and KPI systems (AARRR, DAU/WAU/MAU, NSM).

Known for building end-to-end product analytics systems that translate: user behavior β†’ insights β†’ experimentation β†’ product decisions


Portfolio: ONE Product Analytics System (Not Random Projects)

This portfolio demonstrates a connected analytics lifecycle:

Exploration β†’ KPI Reporting β†’ Journey Analytics β†’ Retention & Prediction β†’ Experimentation β†’ Product Decision


Business Impact

  • +6% conversion through onboarding funnel optimization
  • +8% retention through churn modeling and cohort analysis
  • +12% feature adoption through product insights and stakeholder alignment
  • 20%+ improvement in experiment decision confidence through A/B testing

Portfolio Breakdown

1. Exploration Layer

Telecom User Behavior Analytics
Exploratory analysis of user engagement, segmentation, and usage patterns

πŸ”— https://github.com/Denis0242/Telecom_Analysis


2. KPI Reporting Layer

Healthcare Analytics KPI Dashboard
KPI tracking system for operational and product performance

πŸ”— https://github.com/Denis0242/Kaiser_Dashboard


3. Journey Analytics Layer

Customer Product Journey Analytics
Full lifecycle funnel analysis (Acquisition β†’ Activation β†’ Retention)

πŸ”— https://github.com/Denis0242/customer-product-journey


4. Retention & Prediction Layer

Customer Churn Prediction Analytics
Churn modeling system to identify high-risk users and retention opportunities

πŸ”— https://github.com/Denis0242/Customer-Churn


5. Experimentation Layer

A/B Testing Experimentation Framework
End-to-end experimentation system with power analysis, MDE, and decision logic

πŸ”— https://github.com/Denis0242/AB_test_with_stats


6. Product Decision System

CareFlow Analytics (Healthcare Product System)
Advanced analytics system combining KPI tracking, prediction, and decision support

πŸ”— https://github.com/Denis0242/CareFlow


Across these projects, I use SQL for funnel aggregation, cohort analysis, KPI reporting, retention tracking, and experiment measurement.


Skills & Tools

Product Analytics
A/B Testing Β· Funnel Analysis Β· Cohort Analysis Β· Retention Β· Churn
AARRR Β· DAU/WAU/MAU Β· NSM Β· LTV

Programming
Python Β· SQL

Visualization
Streamlit Β· Plotly Β· Tableau Β· Power BI

Tools
FastAPI Β· Prefect Β· Git Β· Alteryx Β· AWS S3

ML / Statistics
Scikit-learn Β· Statsmodels


Current Focus

  • Product Data Analyst roles
  • Product analytics and experimentation
  • Retention, funnel optimization, and KPI strategy
  • Healthcare tech and insurance analytics

Key Takeaway

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.

Pinned Loading

  1. AB-Testing-Experimentation-Framework AB-Testing-Experimentation-Framework Public

    A/B testing framework with hypothesis testing, power analysis, and Ship/No-Ship decision logic for product experimentation.

    Python

  2. Customer-Churn-Prediction-Analytics Customer-Churn-Prediction-Analytics Public

    Machine learning model predicting churn and enabling data-driven customer retention strategies.

    Jupyter Notebook

  3. CarePath-Analytics CarePath-Analytics Public

    Healthcare analytics system combining patient journey analysis, predictive modeling, and care pathway optimization.

    Jupyter Notebook

  4. Healthcare-Analytics-KPI-Dashboard Healthcare-Analytics-KPI-Dashboard Public

    Interactive healthcare dashboard tracking KPIs, patient trends, and operational performance.

    Python

  5. Customer-Product-Journey-Analytics Customer-Product-Journey-Analytics Public

    End-to-end product analytics dashboard analyzing funnels, retention, and engagement (DAU/MAU) to drive product decisions.

    Python

  6. Telecom-User-Behavior-Analytics Telecom-User-Behavior-Analytics Public

    Exploratory data analysis of user behavior, usage patterns, and traffic distribution.

    Jupyter Notebook