Skip to content
View Denis0242's full-sized avatar
2 followers · 1 following

Block or report Denis0242

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Denis0242/README.md

Denis Agyapong

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

📍 Oakland, CA
📧 Email

🔗 LinkedIn
📊 Tableau Public
🐙 GitHub

🚀 About Me

I build end-to-end product analytics solutions that help teams understand user behavior, optimize product performance, and make data-driven decisions.

🧠 Portfolio Focus

This portfolio simulates how product teams use data across the full lifecycle: User Acquisition → Activation → Engagement → Retention → Churn → Experimentation

My work focuses on:

  • 📉 Identifying funnel drop-offs and improving conversion
  • 📊 Measuring feature adoption and user engagement
  • 🧪 Designing and evaluating A/B experiments
  • 🔁 Analyzing retention and churn drivers

🧠 Core Product Analytics Skills

  • Funnel Analysis (Acquisition → Activation → Retention)
  • Cohort & Retention Analysis
  • A/B Testing & Experimentation
  • KPI Design (DAU, MAU, Conversion, Retention)
  • User Segmentation & Behavior Analysis

📊 Featured Product Analytics Projects

🧪 A/B Testing & Experimentation

A/B Testing Simulator (FastAPI + Statistics)
🔗 https://github.com/Denis0242/AB_test_with_stats

  • Built experimentation framework with hypothesis testing, confidence intervals, and power analysis
  • Enabled go/no-go product decisions using statistical significance
  • Simulates real-world product experimentation workflows

📈 Customer Product Journey Analytics

Customer Product Analytics Dashboard (Streamlit + Plotly)
🔗 https://github.com/Denis0242/customer-product-journey

  • Analyzed user lifecycle from acquisition → activation → retention
  • Identified funnel drop-offs and behavioral patterns across segments
  • Built interactive dashboards to monitor engagement and conversion

🏥 CarePath Analytics (Healthcare)

Patient Journey & Risk Analytics (Streamlit + ML)
🔗 https://github.com/Denis0242/CareFlow

  • Modeled patient care pathways to identify inefficiencies
  • Applied predictive analytics to detect high-risk patients
  • Built dashboards to track operational KPIs and care outcomes

🔁 Churn & Retention Analytics

Customer Churn Prediction (Streamlit + Machine Learning)
🔗 https://github.com/Denis0242/Customer-Churn

  • Built predictive models to identify users at high risk of churn
  • Analyzed retention drivers and behavioral patterns
  • Generated actionable insights to improve retention

📊 Healthcare KPI Dashboard

Kaiser Healthcare Analytics Dashboard (Streamlit + BI Concepts)
🔗 https://github.com/Denis0242/Kaiser_Dashboard

  • Developed KPI dashboards for operational and quality metrics
  • Performed EDA to uncover trends in healthcare performance
  • Simulated real-world reporting workflows

📡 Telecom Usage & Behavior Analytics

Telecom Dashboard (Streamlit + EDA)
🔗 https://github.com/Denis0242/Telecom_Analysis

  • Analyzed user activity patterns and service usage
  • Built dashboards to monitor engagement and anomalies
  • Explored behavioral trends across telecom data

🛠️ Tools & Technologies

Languages & Analysis
Python (Pandas, NumPy, Scikit-learn, Statsmodels), SQL

Visualization & Dashboards
Streamlit, Plotly, Tableau, Power BI

Experimentation & Analytics
A/B Testing, Hypothesis Testing, Funnel Analysis, Cohort Analysis

Workflow & Tools
Git, GitHub, FastAPI, Prefect

🎯 What I’m Targeting

  • Product Data Analyst
  • Product Analyst
  • Data Analyst (Product-focused)

💡 Final Note

This portfolio reflects how product teams use data — not just to analyze, but to drive decisions, improve user experience, and optimize product performance

Pinned Loading

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

    End-to-end A/B testing framework using frequentist and Bayesian methods to evaluate product experiments, track KPIs, and support data-driven go/no-go decisions.

    Python

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

    📊 Customer churn prediction and retention analytics project using Python, machine learning, and Streamlit to identify at-risk customers, uncover churn drivers, and support data-driven product decis…

    Jupyter Notebook

  3. Customer-Product-Journey-Analytics Customer-Product-Journey-Analytics Public

    Product analytics dashboard that analyzes the full customer lifecycle — from discovery and conversion to retention and churn prediction — integrating customer analytics, unit economics, growth metr…

    Python

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

    End-to-end healthcare analytics project using Python and Streamlit for data cleaning, EDA, KPI development, ETL support, and interactive dashboarding in a healthcare setting.

    Python

  5. CarePath-Analytics CarePath-Analytics Public

    Product Data Science project demonstrating causal inference, experimentation analysis, interpretable machine learning, and decision-driven analytics for product and growth teams.

    Jupyter Notebook

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

    End-to-end telecom analytics project using Python and Streamlit for EDA, KPI development, behavioral segmentation, and interactive dashboards.

    Jupyter Notebook