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Projects:


Education:

-[2022-2023] Master in Technology in artificial intelligence, machine learning and deep learning (INFNET Institute) 🕑

-[2016-2017] Master in Economics (UERJ - State University of Rio de Janeiro) ✔️

-[2015] Course in Economic Theory (UFRJ - Federal University of Rio de Janeiro) ✔️

-[2010-2014] Economist (UERJ - State University of Rio de Janeiro) ✔️

Specialties:

-Programming in R, Python & SQL, Statistical & Econometrics, BigQuery, Text Mining, NLP, Neural Networks, Deep Learning, Visualizations, Development of Web applications and Dashboards (using R Shiny library).

Publications

-Can Gaussian factor models of commodity prices capture the financialization phenomenon?

-Hedging the Brazilian stock index in the era of low interest rates: What has changed?

-Análise do comportamento da volatilidade da taxa de câmbio euro-dolar

-Financialização dos mercados futuros de commodities: uma abordagem através do modelo de Schwartz-Smith

-Financialization of the commodity future markets through factor models (IMPA, Research in Options 2017)

Winicius Faquieri's Projects

app_squad-profile icon app_squad-profile

Aplicativo desenvolvido em R Shiny para visualizar algumas estatísticas sobre o perfil de elenco de diversos clubes Br

appmapear icon appmapear

Essa ferramenta tem por objetivo democratizar o acesso a base de dados da Receita Federal. Através de uma interface amigável e de fácil acesso o app permite a consulta de dados cadastrais de milhões de empresas ativas.

awesome-markdown icon awesome-markdown

A collection of awesome markdown goodies (libraries, services, editors, tools, cheatsheets, etc.)

classificador-produtos-gpt3 icon classificador-produtos-gpt3

Este projeto contém um script Python para classificar uma lista de produtos em marca, volume, embalagem e unidade usando a API OpenAI e o modelo de linguagem GPT-3. Este é um projeto de código aberto, e pull requests são bem-vindos!

deep-learning-com-python icon deep-learning-com-python

A practical knowledge of how to use deep learning with Keras 2.0, the latest version of a cutting-edge library for deep learning in Python.

horce-colic-dataset icon horce-colic-dataset

The objective is to build a model to predict whether or not a horse can survive based upon past medical conditions

infnet-project-supervised-learning-python icon infnet-project-supervised-learning-python

This project covers predicting categorical and numeric responses via classification and regression. Learn how to process data for modeling, how to train your models, how to visualize your models and assess their performance, and how to tune their parameters for better performance.

nlp_with_python icon nlp_with_python

learn natural language processing (NLP) techniques, such as how to identify and separate words, how to extract topics in a text, and how to build your own fake news classifier. libraries: NLTK, alongside libraries which utilize deep learning to solve common NLP problems.

openxlsx icon openxlsx

openxlsx - a fast way to read and write complex xslx files

pdf_to_xlsx icon pdf_to_xlsx

Simple example of how to convert data from pdf files to excel spreadsheets.

rossmann-store-sales icon rossmann-store-sales

O objetivo deste projeto foi desenvolver um algoritmo capaz de prever as vendas para 1115 lojas de uma rede farmacêutica. Além disso, o acesso ao algoritmo deveria estar disponível 24/7, via smartphone.

text-mining-with-r icon text-mining-with-r

Diferentes abordagens para organizar e analisar dados da variedade de texto (livros, artigos, documentos)

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