Streamlit Soccer Platform
Data Visulalization Project • Vancouver, BC
Streamlit Soccer Platform
Live Demo and Reference Link:
Key Accomplishments:
- Built a real-time interactive soccer analytics platform with Streamlit and Pandas, analyzing 100+ player stats across 20+ leagues.
- Optimized analytics using Seaborn and WordCloud for visual player-level storytelling; integrated external APIs to fetch live data from 20+ European leagues and the World Cup.
- Deployed via Streamlit Cloud, improving stability by 40% through automated testing and cache optimization for concurrent users.
Technologies Used:
- Streamlit: For building the interactive web application
- Pandas: For data manipulation and analysis
- Seaborn: For statistical data visualization
- WordCloud: For generating word clouds from text data
- Python: Core programming language
- APIs: Integration with external soccer data sources
This platform provides soccer enthusiasts with real-time analytics and visualizations, enabling deeper insights into player and team performance across major leagues worldwide.