The system is a full‑stack restaurant analytics platform built with Spring Boot and Flask, offering dashboards, customer insights, menu and revenue analysis, anomaly detection, and exportable reports, with flexible multi‑outlet, seasonal, and festival‑based filtering for enhanced decision‑making.

An SQL project where I dig into restaurant menu & order data to find popular dishes, price trends, and spending patterns.

This project provides a comprehensive analysis of McDonald's menu items, focusing on their nutritional content.The project empowers stakeholders to make data-driven decisions to optimize menu offerings and promote healthier choices.

This project analyzes restaurant sales transactions using Excel, covering price, quantity, payment method, purchase type, city, and manager performance. Outliers were identified and removed to ensure data accuracy. An interactive dashboard with slicers and charts provides valuable insights into sales distribution, and overall business performance.

Learn how to create a visually appealing Restaurant Management Dashboard using Toolkit Spark Charts. Explore step-by-step implementation, data visualization techniques, and best practices for MAUI developers.

An end‑to‑end food delivery analytics project exploring revenue trends, customer behaviour, restaurant performance, and cohort retention using Python, SQL, and Tableau.

用數據打造完整餐飲營運分析：包含 Python 視覺化與 Tableau 儀表板呈現

An interactive Power BI dashboard analyzing pizza restaurant sales data, providing insights into customer preferences, peak ordering times, revenue trends, product performance, and operational efficiency.

end-to-end data analytics project for restaurant & business insights

Comprehensive Excel-based dashboard analyzing KPIs and sales performance of a South American restaurant chain. Includes sales trends (2021–2022), country-level distribution, customer satisfaction, and profit metrics. Designed Data Analysis and business intelligence insights, performance tracking, and strategic decision-making.

Transformed restaurant chain POS data into actionable staffing and operational insights, identifying 33% higher weekend demand and peak hour patterns across five locations.

Forecasting, simulation, and decision intelligence for multi-brand restaurant chain

Parameter-driven financial scenario modelling framework — quantifies revenue sensitivity, external risk impact, and operational leverage across two business entities using PostgreSQL and Power BI. Delivers €90k+ annualised business case with zero capex.