Pedro Nagatomo's Work | ContraWork by Pedro NagatomoPedro Nagatomo
Developer Backend
Restaurant Food Cost & Menu Profitability Management System
I created a complete Excel-based management system for restaurants, cafés, bakeries, food trucks, and catering businesses to understand food costs, menu profitability, waste, labor allocation, and operating performance.
The system includes a professional executive dashboard, recipe costing, ingredient cost tracking, sales analysis, waste monitoring, monthly performance reporting, data-quality checks, and menu engineering using the STAR, PLOWHORSE, PUZZLE, and DOG framework.
It includes realistic synthetic data for 100 menu items, 300 ingredients, 2,000 sales records, and 12 months of historical activity. The workbook transforms operational data into clear recommendations such as Promote, Increase Price, Reduce Cost, Review Recipe, Keep, and Consider Removing.
Built for practical restaurant decision-making, the goal is to help operators identify which items drive profit, where food costs are eroding margins, and what actions should be prioritized next. Job Finder, AI-Powered Job Search Platform
Built a full-stack job search platform designed to help users discover relevant opportunities faster.
The application combines multi-source job search, AI-powered job matching, one-click applications, resume-based recommendations, and an AI interview simulator in a responsive interface.
I developed the project using React 19 and Java Spring Boot, with web scraping, Docker, Docker Compose, and Nginx for the application infrastructure.
Key features:
Multi-source job search
AI-powered job compatibility scoring
One-click applications
Resume upload and job matching
AI interview simulator
Responsive interface with dark mode
Dockerized development and deployment
REST API architecture Excel Sales Intelligence Dashboard
Built a professional Excel dashboard that transforms 10,000+ sales records into actionable business insights through KPIs, interactive analysis, data visualization, and data quality validation. Study Vault
Personal full-stack project for managing study resources, built with Spring Boot, React, Docker, and Kubernetes.