A repository of pictures of me.

METaQ (Minimizing Entropy Training and Quantization) is a neural network compression strategy applied during training by adding a regularization term to the loss function, aiming to minimize the en…

This report will document the process of data mining of the Electronic Component Dataset. As tools, we chose to combine Weka and Python, mainly focusing on the former but overcoming some of its lim…

In this project, we want to model the scenario of a teacher who has to book a field trip for her class with the formalisms of BPMN and Petri Nets.

This project aims to leverage daily time series analysis of major commodities and financial assets to identify and rank economic scenarios with the goal of applying the most appropriate trade to ea…

In this document, we will outline how to build a data warehouse on Microsoft SQL Server from a dataset related to legal cases.

In this project, data mining and time series analysis algorithms are used to predict whether people are present in a room based on physical information such as CO2 or humidity levels in the air.

In this paper, a comparison is made between the two most important data analysis software currently on the market: Microsoft Excel and Tableau.

In this project we tried to solve a $10000 Kaggle competition. Starting with a dataset containing information about buying and selling used cars, we want to determine whether a purchase is a good o…

In this work, a small search engine for animal adoption was implemented. The focus is on web page scraping, that set of methodologies used to automate the collection of information from Internet si…