Portfolio · Analytics Projects · Case Studies

Selected data projects with clear business insight.

A collection of analytics projects focused on data cleaning, exploration, dashboards, customer behavior, market analysis, and practical recommendations.

Excel Reporting SQL Analysis Python Automation Dashboard Design Data Cleaning Business Insights Excel Reporting SQL Analysis Python Automation Dashboard Design

GameCo

Global Market Analysis of Video Game Sales

GameCo, a video game developer, wants to use sales data to understand market trends and guide the creation of future games.

Which game genres perform best across markets?
Which publishers are the strongest competitors?
How do regional sales patterns change over time?

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Rockbuster Stealth

Online Movie Rental Strategy

Rockbuster Stealth wants to launch an online video rental service and needs insight into customers, revenue, and regional performance.

Which movies contributed the most and least revenue?
Where are high-value customers located?
Do sales figures vary between geographic regions?

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Preparing for Influenza Season

Medical Staffing Planning

This project supports healthcare staffing decisions by analyzing seasonal influenza patterns and population-risk data.

Which locations may need additional medical staff?
When should staffing support be increased?
How can planning reduce pressure during flu season?

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Instacart

Customer Segmentation Analysis

Instacart wants to better understand customer behavior and create more targeted marketing strategies based on purchasing patterns.

What days and hours are busiest?
Which products are most popular?
How do ordering habits differ by customer segment?

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Pig E. Bank

Customer Churn Analysis

This project analyzes customer satisfaction and churn risk to help identify customers who may be most likely to leave.

Which factors contribute to customer attrition?
Which customers are at higher churn risk?
How can retention strategies be improved?

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Household and Expenditure Analysis

Household Spending & Statistical Analysis

This project examines how household characteristics and income influence weekly expenditure using statistical testing, correlation, regression, and interactive data visualization.

How does expenditure vary by occupational class and housing tenure?
How does household composition affect spending behavior?
What relationship exists between household income and expenditure?

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Household and Expenditure Analysis project image

Divvy Bikeshare Usage Analysis

Chicago Bike-Sharing Trends & Predictive Analytics

An interactive analysis of over 21 million bike-sharing trips from 2013 to 2019, exploring ridership patterns, customer demographics, station activity, popular routes, and historical demand forecasts.

How do subscribers and casual customers differ in their riding patterns?
Which stations, routes, and times experience the highest demand?
What do historical trends reveal about future bike-sharing demand?

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Each project is built around a clear question, structured analysis, and practical recommendations for decision-making.

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