I’m a Statistician and reproducible research enthusiast. An R and GIT lover and active user. I like statistical modelling in general, package and dashboards building, text mining and APIs. Also, I’m specially interested in multivariate analysis, feature extraction, probabilistic graphical models and data science.
As as I am very interested in Music Information Retrieval, I developed, so far, two packages for R: vagalumeR, which is about lyrics data extraction, and chorrrds, a package that extracts music chords from the CifraClub website. They’re both already available on CRAN. I also have worked on the R package that makes connections with the Spotify API (found at this repository).
Some of my work with Shiny Applications, and the
package can be found here
and here. The
first one is about my non-linear models catalog, which is still in
development. The second is for the ones who are interested in
probability distributions in the unit interval, as it is a catalog
on this subject.
My most recent projects envolve mostly probability theory and distributions, multivariate statistics an music information retrieval.
Current PhD Candidate in Statistics - Bayesian Machine Learning, 2018
Bachelor in Statistics, 2018
Federal University of Paraná
Mon, Aug 13, 2018, R-Ladies Meetup
Sat, Jun 16, 2018, R-Ladies Meetup
Fri, Jun 15, 2018, Undergraduate Thesis
Wed, May 23, 2018, 63rd Brazilian Meeting of the International Biometrics Society
Mon, May 21, 2018, 1st R-Day: National Meeting of R Users
Music information retrieval is the field that develops and applies computational tools combined with music theory. The area intends to amplify the understanding and utility of music data. With that in mind, the goal of this project is to provide the implementation to many different music information retrival techniques in R. The topics involve since packages for music data extraction, tools for data exploration and probabalistic modelling, including deep learning.
The goal of this project is to develop a complete framework in R for the use of non linear models. It includes a dashboard for the interactive visualization of all the present models, along with other functions, also useful for the fit of these models.
The objective of this project is get together students, teachers, professionals and researchers interested in the study and building of Shiny applications. The motivation comes from the understanding that the learning of statistics, mathematics and other subjects can be facilitated with the use of interactive tools, such as Shiny applications.
Currently, I have two packages on CRAN
They have the same subject: music data.
vagalumeR is the package that
extracts music lyrics from the Vagalume
API. The second package,
chorrrds, extracts music chords from the CifraClub website, through web scraping.
Both these packages are in constantly development, are their most recent ones will be always available first at my github.