pizza place project data analysis

? **Pizza Sales Analysis Project**

I recently completed a sales analysis project focused on exploring pizza sales data to uncover key trends, customer behavior, and revenue drivers.

? **Approach**

I imported, cleaned, and prepared raw data using **Pandas** and **NumPy**, then designed and calculated essential KPIs, including:

* Total Revenue

* Total Orders

* Total Quantity Sold

* Average Order Value (AOV)

* Average Pizzas per Order

To communicate insights effectively, I built visualizations using **Matplotlib** and **Seaborn**, covering:

* Time-based sales trends

* Category-wise performance analysis

* Top and bottom-selling pizzas

* KPI summary visuals for quick decision-making

? **Key Insights**

* A small number of categories generate the majority of total revenue

* Order size patterns reveal clear customer preferences

* Visual dashboards help identify product focus areas and growth opportunities

? **Tech Stack**

Python | Pandas | NumPy | Matplotlib | Seaborn | Data Cleaning | Exploratory Data Analysis (EDA)

This project strengthened my ability to transform raw data into actionable, business-ready insights and present them through clear, impactful visuals.

I’m excited to apply these skills to larger and more complex datasets ?