This project analyses 12 months of retail sales data to understand what drives revenue and to build a simple, transparent forecasting approach for a mid-size retailer. The focus is on identifying high-value products, understanding pricing behavior, and uncovering time patterns that can inform promotions, staffing and inventory decisions.

Descriptive and Predictive Analysis with Interactive Dashboard

This repository contains a comprehensive data analysis project using Python, focusing on deriving insights from Quantium's datasets. The project includes data cleaning, exploratory data analysis (EDA), visualization, and key business insights extraction. It utilizes Pandas, NumPy, Matplotlib, and Seaborn for data manipulation and visualization.