This repository gathers the work done for the hackathon for climate organized by Google Cloud. The team is composed of 9 students and was awarded the first place.

🍽️ Multi-tenant restaurant SaaS. Frictionless QR-code ordering and dashboards ⚡📦

食品行业临期/保质期管理 AI 副驾 · 企微每日预警 + AI 处置建议 + 一键决策派单 + 月度 ROI 报告 · Open Core 自助试用，docker compose 一键跑通

Inventaire Poids Variable GS1

This project operationalizes the Kaggle notebook by Hassan Jameel Ahmed into a production-ready interactive dashboard. It explores the cost of a healthy diet across countries and regions from 2017 to 2024, drawing on World Bank data to highlight global disparities in food affordability.

MicroLogger is a small PHP/MySQL web application designed for managing microbiological test logs in a food industry environment.

This project explores and analyzes food industry data to uncover sales trends, customer preferences, and market insights. Using data cleaning, visualization, and exploratory data analysis (EDA), it helps businesses make informed decisions, optimize strategies, and improve overall performance in the competitive food sector.

Machine learning aplicado a la industria alimentaria

Optimización de procesos alimentarios con gradient descent

Internship project carried out in collaboration with the University of Siena

Performed exploratory data analysis on Bangalore Zomato’s restaurant dataset using Python, Pandas, and Matplotlib to uncover dining trends across major Indian cities. Cleaned and transformed raw data to extract insights. Visualized patterns in customer preferences and location-based popularity to support strategic decision-making of food service

Power BI dashboard analyzing Domino’s sales performance with insights on revenue, orders, top pizzas, sizes, categories, and monthly trends .

Partially, the works were done in UMLC2020 camp supported by JNU and JDC

Análise do mercado de queijos: associação categórica (qui-quadrado, Cramér's V), ANOVA e classificação com Random Forest.

Config files for my GitHub profile.

MySQL-based data analytics project using complex queries to analyze and forecast pizza sales trends, helping optimize inventory and marketing strategies.

It is an ERP module with food industry ORM. This module behaves initially like an hierarchical BOM module.

Meat Processing ERP for managing slaughter, processing, cold storage, compliance, and meat processing operations. Built with APPNEURAL.

A quick HTML page that serves PDF menus. Perfect for food trucks, pop-up kitchens or small restaurants.