Business Case Studies in Data Science: How I Approach Real Problems in Data Scientist
Business Case Studies Approach
When I started real projects, I realized success depends more on problem framing than fancy models.
My Simple Approach
- Understand KPI: what does “success” mean?
- Define target: what exactly to predict/optimize?
- Collect data: sources, quality, freshness
- EDA: patterns + issues
- Baseline model: quick benchmark
- Improve + deploy: iterate with feedback
