Cristian Beltran

An analytical project exploring how player age relates to team performance and individual metrics such as dribbling, progressive passes, and carries across major football leagues (2022–2023).

Three-stage project analyzing music streaming data from Springfield and Shelbyville. Includes data exploration, cleaning, and hypothesis testing to compare user behavior and extract insights.

This project provides hands-on practice with common software engineering tasks. It helps enhance your data skills and strengthen your profile for job opportunities. Tasks include managing Python virtual environments and developing a web application.

This project analyzes customer behavior for Megaline, a telecom operator, to determine which prepaid plan—Surf or Ultimate—generates more revenue. Using data from 500 clients, it includes data exploration, revenue comparison, and statistical testing.

This project analyzes video game sales data to identify patterns behind successful games. Using 2016 data, it explores genres, platforms, user and critic reviews, and ESRB ratings to support marketing decisions and forecast trends for 2017.

This project explores customer shopping habits using a modified Instacart dataset. The user cleans the data, handles duplicates and missing values, analyzes patterns, and presents insights through visualizations.