🧪 A/B Testing & Statistical Inference (Marketing Campaigns)

End-to-end A/B testing analysis pipeline using Python, SQL, and Power BI.

Workflow

1. Load and clean A/B test data.
2. Calculate conversion rates per group.
3. Perform hypothesis testing (z-test).
4. Store results in PostgreSQL.
5. Automate daily analysis via GitHub Actions.
6. Visualize results in Power BI and publish to Hostinger.

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Tech Stack

• Python (pandas, scipy, SQLAlchemy)
• PostgreSQL
• Power BI
• GitHub Actions
• Hostinger