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πŸ“Š Data Analytics Portfolio

A collection of end-to-end data analytics and product analytics projects demonstrating data cleaning, exploratory data analysis (EDA), dashboarding, machine learning, and experimentation workflows.


πŸ“Œ Overview

This repository showcases real-world analytics projects focused on transforming raw data into actionable insights to support business and product decision-making.


πŸ” Key Skills Demonstrated

  • Data Cleaning & Preprocessing
  • Exploratory Data Analysis (EDA)
  • KPI Development & Metric Tracking
  • Dashboarding (Streamlit, BI tools)
  • Machine Learning (Churn Prediction, Classification)
  • A/B Testing & Experimentation

πŸ’Ό Business Impact

  • Enables data-driven decision-making
  • Identifies trends, risks, and opportunities
  • Demonstrates end-to-end analytics workflows

πŸ“Œ Author

Denis Agyapong
Product Data Analyst / Data Analyst

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