Michael Edgington

Michael Edgington

Data Analyst focused on Customer Experience & Retention | SQL · Python · Tableau · Power BI | Voice of Customer, detractor analysis, churn modeling

About

I'm a data analyst focused on customer experience and retention. I build analyses that turn voice-of-customer signals into prioritized, cross-functional action — the work a CX operations team actually ships through.

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Projects

Customer Churn Analysis

End-to-end analysis of 7,000+ telecom customer records to identify churn drivers and deliver data-backed retention recommendations. Built and compared logistic regression and random forest models achieving 80% accuracy, identifying contract type, tenure, and monthly charges as the top predictors of customer churn.

Python pandas scikit-learn Exploratory Data Analysis Predictive Modeling
View on GitHub

E-Commerce Sales Analysis

Analyzed 539K+ e-commerce transactions across 38 countries using SQL to uncover revenue patterns, customer concentration risk, and seasonal trends. Delivered four strategic business recommendations including international expansion targets and a wholesale account retention program.

SQL Tableau Business Intelligence Data Analysis

Federal Job Market Dashboard

Live dashboard analyzing federal hiring trends across thousands of active job postings. Visualizes posting volume over time, top hiring organizations, geographic distribution by state, salary ranges, and top job titles updated dynamically on each search query.

REST API Integration Data Visualization Trend Analysis JavaScript
View Dashboard

Skills

Data & Analysis

SQL Excel Tableau Power BI Google Sheets Python scikit-learn

Tools & Technologies

JavaScript HTML/CSS Jupyter Notebook Git/GitHub

Business & Systems

Requirements Gathering Process Documentation Systems Analysis Stakeholder Communication SDLC