restaurant-analytics

懂单儿 RODAS｜面向餐饮订单数据的智能分析与经营决策系统，支持字段识别、经营看板、异常诊断、预测与报告导出。

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

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

End-to-end Machine Learning internship projects featuring regression, recommendation systems, classification, and spatial analytics using real-world restaurant data.

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.

Restaurant Financial Performance Analysis Dashboard built using Power BI, SQL, DAX, and Power Query to analyze sales, revenue, profitability, branch performance, customer behavior, and menu insights through interactive business intelligence dashboards.

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.

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.

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

Multi-location restaurant analytics & decision intelligence platform — Power BI, SQL, DAX, Power Automate, OpenAPI. 114K transactions, 13 locations, automated weather-triggered decisions, expansion scoring model.

Interactive Power BI dashboard analyzing pizza sales performance — revenue, orders, top/bottom performers, category & size distribution, and hourly trends. Built with DAX, Power Query, and a multi-table data model.

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

Data-driven business intelligence and geospatial analysis of Bangalore restaurants

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

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

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.

Interactive Power BI dashboard for analyzing restaurant data, consumer behaviour, cuisines, ratings, dining preferences, and restaurant characteristics across cities and states.

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 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.

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