Postgraduate ePortfolio designed to document my MSc studies in Artificial Intelligence at the University of Essex.

In my project, I used machine learning to classify borrowers as good or bad risks. I handled missing values with the mode, converted categorical data to numerical, and normalised features. There is a Jupyter notebook and a written report detailing my decision making process in this repo.

We were tasked with developing path finding algoirthms that were as efficient as possible (I made the DFS, BFS, testing and backend for future algos)

A program simulating the performance of cache memory including a written report breaking down the code and choices made.

My first ever substantial project on my MSc (about three years ago) - I passed, but the code is very rough around the edges.

In this assignment, I wrote an interpreter for a simple machine language — SML.

Made a RESTFul Api MiniWall application

A Retrospective Facilitation App build for a MSc in Digital Technology Solutions

My M.Sc. dissertation: Modern Data Platform using DataOps, Kubernetes, and Cloud-Native ecosystem to build a resilient Big Data platform based on Data Lakehouse architecture which is the base for Machine Learning (MLOps) and Artificial Intelligence (AIOps).

[EN] Chapter for the Statistics and Mathematics book of the MODE master (Rennes University).

[FR] Data analysis on parameters influencing body temperature in butterfly flight.

[FR] Parameter sensitivity analysis of an epidemiological model.

My MSc Applied AI and Data Science's final project

Repository for course works and materials, KMITL Msc in Data Science and Data Analytics.

Deployed MERN todo-list application

API em TypeScript para CRUD de itens medievais, utilizando tipagem para garantir robustez e compreensibilidade do código, e aplicando os conhecimentos adquiridos na linguagem.

O projeto Store Manager é uma API de gerenciamento de vendas no modelo dropshipping, com arquitetura MSC e seguindo o REST. Utiliza o banco MySQL para criar, visualizar, atualizar e excluir produtos e vendas, garantindo integridade e escalabilidade.

Objetivo: Desenvolver a primeira API utilizando a arquitetura MSC (model-service-controller), um sistema de gerenciamento de vendas no formato dropshipping.

API Rest que realiza a conversão entre duas moedas utilizando taxas de conversões atualizadas de um serviço externo