My portfolio
Web deploy
Platform for Managing Cost and Consumption of Water and Energy for Municipalities
Platform developed in R/Shinny showing statistics and KPIs in a comprehensive dashboard of the Building Portfolio for Municipalities. It make it easy for the city hall to manage buildings' expenses and evaluate their performance, by comparing with benchmarks and identifying inefficiencies.
Machine Learning
Artificial Neural Network to predict thermal loads of buildings
This is an interface developed in HTML/CSS/JavaScript to run a Artificial Neural Network (ANN), as a Machine Learning model, to serve as a predictor of thermal loads in buildings. Usually, thermal loads are predicted using simulation softwares, which can be effort-demanding and expensive. With this ANN, it can be done easily by describing the building features through an Excel spreadsheet in a simplified language.
Business Intelligence
Dynamic Report for Building Performance Parametric Analysis for Social Housing solutions
PowerBI report based on a large dataset showing combinations of building solutions (walls, roofs, colors, windows) for different cities in Brazil and their correspondent thermal performance, for Social Housing. It helps to understand which solution combination is applicable for which climate and building type.
Dynamic Report for Mapping Social Housing in Brazil
PowerBI report based on a database of Social Housing from the National habitation policy "Minha Casa Minha Vida". It shows statistics from the implementation of the program and building features.
Interactive reports
Interactive and navigable Report
I used Gitbook to create a navigable literature Review, with interactive citations, figures, tables and other resources that make it easy to acquire information.
