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Linguagens e ferramentas (Languages and tools):

Python R Git Excel

Meus projetos (My personal projects):

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1. Análise do transporte ferroviário de cargas no Brasil: (Em desenvolvimento) O objetivo deste projeto é a análise da utilização do modal ferroviário no Brasil para o transporte de cargas no período entre 2006 e 2019. Procuramos observar a evolução do uso das ferrovias no transporte de cargas, as principais mercadorias transportadas e os principais Estados de origem destas cargas. Por fim, serão propostos modelos de previsão para o volume transportado entre as principais mercadorias. Ferramentas: Python.

  • Analysis of rail freight transport in Brazil: (Work in progress) The main objective of this project is the analysis of the rail freight transport use in Brazil between 2006 and 2019. We observe the evolution of the railroads use for cargo transport, main goods transported and their origin States. Finally, we propose forecast models for the volume transported among the main goods. Tools: Python.

Repositório (Repository)

2. Painel Macroeconômico: (Em desenvolvimento) Criação de um dashboard feito em R Shiny com informações sobre a conjuntura macroeconômica do Brasil. O painel é separado em diferentes seções como: atividade econômica, inflação, indústria, política monetária, política fiscal entre outros. O principal objetivo deste painel é servir como ferramenta de análise rápida sobre os principais indicadores macro com atualização trimestral. Ferramentas: R.

  • Macroeconomic Panel: (Work in progress) Development of dashboard made with R Shiny app for Macroeconomic statistics of Brazil. This panel is subdivided between different sections: economic activity, CPI prices, industry, monetary policy, and fiscal policy among others. The main objective of this dashboard is the fast analysis of the major macroeconomic indicators with quarter refreshes. Tools: R.

Repositório (Repository)

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Este readme foi feito baseado nos tutoriais:

twpinter's Projects

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-r icon awesome-r

A curated list of awesome R packages, frameworks and software.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datawrangling icon datawrangling

The ultimate reference guide to data wrangling with Python and R

deep-learning-in-r icon deep-learning-in-r

Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization

ead-api icon ead-api

API da plataforma de ensino a distância desenvolvida junto ao canal do YouTube Programador a Bordo

machine-learning-in-r icon machine-learning-in-r

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

portfolio icon portfolio

Portfólio com os meus projetos (Portfolio menu).

projeto-ferrovias icon projeto-ferrovias

:steam_locomotive: Análise do transporte ferroviário de cargas no Brasil (Analysis of rail freight transport in Brazil).

projeto-painel-macroeconomia icon projeto-painel-macroeconomia

:chart_with_upwards_trend: Dashboard sobre conjuntura macroeconômica do Brasil (Dashboard about the brazilian macroeconomic statistics).

r-graphics icon r-graphics

Introduction to Data Visualization with ggplot2 and ggmap

r-wrang icon r-wrang

Introduction to dplyr and tidyr packages for tidy data

rcv-fc icon rcv-fc

Computation material for: 'Modeling and forecasting large realized covariance matrices and portfolio choice.'

test_db icon test_db

A sample MySQL database with an integrated test suite, used to test your applications and database servers

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