☕ Coffee Shop Insights & Predictions
Data analysis and forecasting for a family‑owned coffee shop. This project analyzes operational data from a small family‑run coffee shop to uncover sales patterns, customer behavior, and product performance. It combines exploratory analysis, forecasting models, and business‑focused recommendations to support smarter decision‑making. The goal is to transform raw data into insights and predictions that help optimize inventory, staffing, and menu strategy.
📌 Project Objectives Understand sales trends across days, weeks, and seasons
Identify best‑selling products and customer preferences.
Forecast demand to support inventory planning and reduce waste.
Provide actionable insights to improve revenue and operational efficiency.
Build a reproducible analytical workflow using Python and SQL.