Data science
EngageX
Python
ReactPlotly
Problem
The problem
Game price, genre, and popularity tell different stories about engagement. I wanted to explore which patterns the data actually supports.
Approach
How I approached it
I built an interactive analysis of the Steam games dataset, pairing Python modeling with a React and Plotly presentation. The project includes reproducible analysis, model feature importance, genre comparisons, and engagement visualizations.
Details
What I built
- Published a live interactive frontend with a Flask API.
- Included a reproducible analysis notebook and documented methodology.
- Explored pricing, playtime, DLC, and ownership patterns.