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.
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.
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
Zomato restaurant data analysis — ratings, cuisine trends, pricing patterns and city-wise insights
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 90ドルk+ annualised business case with zero capex.
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.
End-to-end time-series forecasting project using Python, XGBoost, Prophet, and Random Forest to predict restaurant demand. Includes feature engineering, lag analysis, rolling statistics, and business-driven insights to reduce food waste and optimize inventory.
An SQL project where I dig into restaurant menu & order data to find popular dishes, price trends, and spending patterns.
Transformed restaurant chain POS data into actionable staffing and operational insights, identifying 33% higher weekend demand and peak hour patterns across five locations.
Modern Restaurant Management System (RMS) with POS, QR Ordering, Kitchen Management, Inventory Control, Purchasing, Loyalty Programs, Multi-Outlet Operations, and Advanced Business Analytics.
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.
Data-driven business intelligence and geospatial analysis of Bangalore restaurants
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.
Computer vision system for restaurant table occupancy tracking. YOLOv8 + OpenCV + MOG2. Python.
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 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.
AI agent for restaurant analytics — answers business questions in natural language using Claude tool use + real sales data
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