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fine-grained-cars-recognition-dcnn
September 2, 2022 – March 27, 2023
This repository stores an application that performs the training of four architectures of Deep Convolutional Neural Networks using three base sets of different car images, extracting the main metrics (precision, accuracy, f1-score and recall) of each scenario, with the objective of to analyze the performance of architectures in the refined car recognition task
View Projectai-playground
May 26, 2022 – June 15, 2022
Collections & miniprojects involving Artificial Inteligente, Machine Learning and Deep Learning.
View Projectemotion_detection
November 5, 2021 – December 16, 2021
Projeto para a disciplina de Álgebra Linear na especialização em Visão Computacional pelo CIn-UFPE. Ele consiste em detectar emoções utilizando imagens de pessoas com diferentes expressões faciais.
View Projectpyne2022
October 13, 2021 – September 2, 2022
Site da Python Nordeste 2022.ᅠᅠPessoas > Tecnologia. ✊🏿✊🏾✊🏽✊✊🏼✊🏻 🏳️🌈🏳️⚧️♿.
View Projectprojeto_introducao_analise_de_dados
October 8, 2021 – August 3, 2023
Projeto para a disciplina de Introdução à Análise de Dados na especialização em Visão Computacional
View Projectmangarisuto
September 27, 2021 – September 30, 2021
マンガリスト。CRUD desenvolvido para disciplina de Introdução à Python na Residência em Visão Computacional pelo CIn-UFPE.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of interests, from web development (HTML, CSS, JavaScript) to data science and machine learning. The 'pyne2022' project description includes social justice themes, indicating a potential alignment with inclusive work environments. However, the overall breadth of skills is somewhat scattered, and the depth in any single area is not clearly demonstrated. The target role is Data Scientist, and while there are relevant projects, the experience level is listed as 0, suggesting a junior profile for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview data.