This is a master repository where I solve real-world business problems on a regular basis using data.
Each case starts with a business question and uses SQL and Python to analyze datasets, identify patterns, and reach practical conclusions. The emphasis is on structured thinking and decision-making, not on building showcase projects or experimenting with tools.
For each business case:
Define the business problem clearly
Understand the context and constraints
Translate the problem into data questions
Use SQL and Python to analyze the data
Document insights that matter for business decisions
Each commit typically represents one focused problem or analytical step.
The purpose of this repository is to:
- Build consistency through daily or regular problem-solving
- Practice thinking like a business analyst, not just a coder
- Maintain a single, evolving record of analytical work
- Focus on reasoning, assumptions, and conclusions rather than visuals or polish
This repository reflects how I approach business analysis in practice.
- SQL for querying and structuring data
- Python for analysis and exploration
The choice of tools is secondary to the clarity of the business reasoning.
GitHub Discussions are used to capture:
Assumptions and trade offs
Reflections on alternative approaches
Discussions are not used for basic syntax or beginner questions.
This repository is actively maintained and evolves over time.
Earlier cases may be revised as my understanding improves.