Sports Popularity Analysis

Conducted comprehensive analysis of global sports popularity trends by developing an automated data collection system that scraped information from Google Trends and YouTube analytics. Built a robust data pipeline handling large-scale web scraping while respecting rate limits and API constraints.

Key Achievements:

• Successfully processed over 10,000+ data points across 50+ sports categories

• Identified seasonal trends in sports viewership

• Created predictive models for future popularity spikes

• Applied statistical analysis for correlation patterns