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.

Modern Restaurant Management System (RMS) with POS, QR Ordering, Kitchen Management, Inventory Control, Purchasing, Loyalty Programs, Multi-Outlet Operations, and Advanced Business Analytics.

SecondBite is an AI-powered restaurant management platform that helps restaurants collect customer feedback, manage digital coupons, and gain actionable business insights. Customers can submit reviews via QR codes and receive reward coupons

Deterministic Python & pandas pipelines for restaurant menu engineering and food-cost analytics — source of www.restaurant-menu.org.

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

Demand intelligence and kitchen prep planning for real canteens.

An end-to-end restaurant intelligence platform built with Python and Machine Learning, featuring rating prediction, personalized recommendations, cuisine classification, and location-based business insights.

Data-driven business intelligence and geospatial analysis of Bangalore restaurants

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

CAVA missed FY2025 same-restaurant sales guidance by up to 4pts, but unit growth (72 openings vs. 62-66 guided) offset enough of the shortfall to land Adjusted EBITDA within the original guidance range. FY2026 Low/Base/High forecast built from that base.

Interactive Tableau dashboard analyzing Michelin-starred restaurants in Washington, D.C. with custom Figma UI, geospatial mapping, and cross-city benchmarking

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

Computer vision system for restaurant table occupancy tracking. YOLOv8 + OpenCV + MOG2. Python.

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.

Zomato restaurant data analysis — ratings, cuisine trends, pricing patterns and city-wise insights

Interactive Zomato Restaurant Analytics Dashboard built using Power BI, DAX, and Power Query to analyze restaurant performance, cuisines, pricing, customer ratings, online delivery, table booking, and geographic distribution.

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

Enterprise-style Power BI dashboard analyzing food delivery operations across customers, restaurants, orders, revenue, and logistics performance.

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.