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

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.

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.

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

Data-driven business intelligence and geospatial analysis of Bangalore restaurants

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

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

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

An end-to-end Business Intelligence solution built with SQL Server and Power BI to analyze 197K+ restaurant marketplace orders. The project features a staging-to-production ETL pipeline, star schema data model, DAX measures, and a five-page interactive dashboard delivering insights into marketplace performance.

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.

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.

Restaurant guest demand forecasting for Karma Sushi Aalborg, combining historical sales with weather, marketing campaigns, and public holidays. MSc Business Data Science project (Aalborg University) using Prophet and ML models in a 7-day forecast pipeline.

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.

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.

Python ETL pipeline integrating Wansoft, Odoo, and Zenput into MySQL for BI, catalog governance, and operational analytics.

Food Delivery Analytics is a data analytics project that analyzes customer orders, restaurant performance, delivery operations, revenue, and customer behavior. Using SQL, Python, and Power BI, it delivers insights to improve delivery efficiency, customer satisfaction, and business performance.

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.