Project Overview

This project involved analyzing over 50,000 sales records to identify seasonal trends and key growth drivers.

Key Insights

  • Identified a 15% increase in sales during Q4 due to specific regional promotions.
  • Found that customer retention was highest among users who purchased within the “Electronics” category.

Technical Stack

  • SQL: Used for data cleaning and aggregation.
  • Python: For initial data exploration using Pandas.
  • Tableau: For final interactive visualizations.

Note: Above would be an interactive dashboard. You can replace the embed_url in the front matter with your actual Tableau or PowerBI share link!