Acerca de
Experiencia y educación
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Mercado Livre Brasil
Mira la experiencia completa de Jéssica
Mira su cargo, antigüedad y más
o
Publicaciones
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On Novelty Driven Evolution in Poker
IEEE SSCI 2016 (CIDUE Symposium)
Otros autores -
Cursos
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2014, Machine Learning (10 weeks)
Coursera
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2017, Understanding and Documenting REST APIs (5 hours)
Udemy
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2018, Data Science Crash Course (20 hours)
UFPR
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2021, Certified on "Leadership, Learnability, and Resilience" (4h)
PUCRS
Proyectos
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Web Scraping Tool + API
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Ver proyectoWeb Scraper + REST API, using Scrapy and Python3/Django with PostgreSQL.
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Segmentation API
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Ver proyectoAPI that allows the segmentation of s according to custom filters.
Ruby. Grape. MongoDB. -
SBB Reinforcement Learner (framework)
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Ver proyectoImplementation of the Symbiotic Bid-Based (SBB) algorithm for problem decomposition using genetic programming. This implementation is a Python framework for reinforcement learning problems. This system is used by the NIMS laboratory at Dalhousie University, Canada.
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SBB Classifier (library)
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Ver proyectoImplementation of the Symbiotic Bid-Based (SBB) algorithm for problem decomposition using genetic programming. This implementation is a Python library for classification problems.
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Text Sentiment Analysis
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Exploratory tool that provides various preprocessing and feature selection techniques along with classification models to analyse the sentiment of texts. Uses Python and machine learning libraries.
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Visualization Tool for Classification Datasets
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Ver proyectoDevelopment of a visualization tool using Javascript, Python and D3 to visualize real-valued data for classification datasets.
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Research and development of prevision and optimization models of Rate of Penetration (ROP) of pre-salt wells
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Development of prevision and optimization models of rate of penetration (ROP) of pre-salt wells for Petrobras.
Otros creadores -
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Research and development of intelligent backgammon players using neural networks
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Research and develop of intelligent backgammon players using NEAT and reinforcement learning. NEAT is a framework that uses genetic algorithm to evolve artificial neural networks. Uses Java.
Otros creadores -
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Scientific Paper Summarizer
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Ver proyectoDevelopment of a Java system that uses genetic algorithms, NLP and graphs to summarize scientific papers.
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2D Platform Game: Cleasing The Undead
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Ver proyecto2D platform game using Unity 3D, C# and Photoshop.
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Multi-Agent System for SMADAS 2012
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Development of a Multi-Agent System to participate in the Multi-Agent Programming Contest 2012.
Otros creadores -
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Research and Development of a Recommentation System using Agents and Ontologies
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Development of a recommendation system where intelligent agents use the DBPedia ontology to provide recommendations for metadata. Uses Java and NLP, ontology, and multi-agent libraries.
Otros creadores -
Reconocimientos y premios
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Graduate Scholarship (Dalhousie University)
Dalhousie University
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TA Scholarship (Dalhousie University)
Dalhousie University
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Honors in Computer Science
Universidade Federal de Santa Catarina
Achieved the highest grades among the Computer Science undergraduate students.
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First place at the Multi-Agent Programming Contest (team UFSC)
Multi-Agent Programming Contest
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High School Scholarship (2006-2008)
Educandário Imaculada Conceição
Best grades in a final test.
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Silver Medal at VI Regional Mathematics Olympiad
SBM (Brazilian Mathematical Society)
Calificaciones de pruebas
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POSCOMP 2013
Puntuación: 47
POSCOMP (National Exam for ission to Posgraduate Programs in Computer Science)
National mean: 30.7, std dev: 8.2
Idiomas
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Inglês
Competencia bilingüe o nativa
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Português
Competencia bilingüe o nativa
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Espanhol
Competencia profesional completa