I am a PhD student on Complex Systems, an interdisciplinary field of sciences, working with networks in general. I've studied Complex Networks, Econophysics, algorithms and data structures. My background is in physics and statistical mechanics. I have skills on programming languages, machine learning algorithms, data mining and data visualization.

I am an active Python user doing scientific computing. I am proficient using Python data science ecosystem to perform a variety of tasks required in a daily data science project such as data exploration, visualizations and machine learning. I am also familiar with software and web development tools.

  Pandas, Scikit-Learn, NumPy, Seaborn, Matplotlib, NetworkX, SciPy, Plotly and Bokeh.

  C/C++, R, Julia, Git, GitHub, Markdown, Jekyll, Ruby on Rails, Gem, YAML, JSON, SQL, CSV, XML, HTML/CSS and Javascript.

  Linux, Bash, SSH and Windows

Master thesis: Estudo de redes complexas e Mecânica Estatística não-extensiva.
(Complex networks and non-extensive Statistical Mechanics).

Bachelor thesis: Percolação e Criticalidade Auto-Organizada.
(Percolation and Self Organized Critically).