Hamilton Institute &

Department of Statistics

Maynooth University

― Aristotle

I am a statistician, reproducible research enthusiast, R and git active user. I like statistical modelling in general, package and dashboards development, text mining and APIs. I am specially interested in machine learning, Bayesian inference, multivariate analysis, feature extraction and probabilistic graphical models.

**What am I doing right now**

Currently, I am pursuing my PhD at the Hamilton Institute in Maynooth, Ireland. I am a part of Andrew Parnell’s research group, and we are mostly working with extensions (Bayesian) tree-based models and its many possible applications.

Apart from that, I am also very interested in Music Information Retrieval. I have developed two packages for music data extraction in R: vagalumeR, which is about getting lyrics data from the Vagalume API, and chorrrds, a package that extracts music chords from the CifraClub website (both available on CRAN). I have contributed to the R package that makes the connection with the Spotify API (found at this repository). More about music data extraction & analysis can be found at my R-Music blog, a blog that I started in 2018 and that has as its main goals to enable the study and practice of Music Information Retrieval (MIR) in R.

I am a member of the R-Ladies (Dublin and São Paulo chapters), a non-profit organization that promotes gender diversity in the R/data science community. I am also a moderator of various data science/programming communities. I am always happy to help people who are interested in the fantastic area of Data Science.

Apart from that, I like to spend my "free time" studying music (focusing on piano), languages and linguistics, cycling and traveling.

- Machine Learning
- Bayesian Inference
- Multivariate Analysis
- Statistical Programming

- Data manipulation and visualization
- Music Informational Retrieval
- Reproducible research
- Languages & Culture

`DONE`rstudio::conf 2020 Summary- Short Talk
- Hamilton Institute,
- Ireland
- February, 2020
- Slides [EN]

`DONE`I'm a Data Scientist, Git me out of here!,- Invited Talk
- R-Ladies Meetup,
- Dublin, Ireland
- February 20th, 2020
- Slides

- Introduction to Julia Programming
- Ph.D. Group Talk
- Hamilton Institue,
- Maynooth, Ireland
- May 29th, 2020
- Slides

`DONE`Regularization in Random Forests,- Seminar
- Hamilton Institute,
- Ireland
- November, 2019
- Slides

`DONE`The`tidyverse`

for Machine Learning,- Invited Talk
- satRday São Paulo, Insper,
- São Paulo, São Paulo, Brazil
- November 30, 2019
- Slides [PT-BR], Slides [EN]

`DONE`Bayesian Optimization + Regularization Paths in Random Forests,`DONE`Regularization Methods in Random Forests,`DONE`An introduction to Random Forests using`R`

,`DONE`Probabilistic Graphical Models in`R`

and`python`

,`DONE`Music Data Analysis in R - Shortcourse,- Shortcourse,
- IV International Seminar on Statistics with R,
- Niterói, Brazil
- May 21, 2019
- Slides [PT-BR], Slides [EN]

`DONE`Regularization Methods in Random Forests,`DONE`An Introduction to Bayesian Regression Trees,`DONE`Chord Based Feature Engineering for Genre Classification in Popular Brazilian Music`DONE`Construction and implementation of multivariate dispersion models,`DONE`googleAnalyticsR & purrr,

`DONE`The steps of a Kaggle project,`DONE`Git & GitHub tutorial,`DONE`My personal presentation,`DONE`Tutorial: basic R + dplyr,`DONE`Tutorial: basic R + dplyr,`DONE`Construction and Implementation of Multivariate Dispersion Models- Presentation,
- 63rd Brazilian Meeting of the International Biometrics Society,
- Curitiba, Brazil
- May 23, 2018
- Slides

`DONE`Music Data Analysis in R,`DONE`RMarkdown Course,

Copyright (c) 2018; all rights reserved.

Template by Bootstrapious. Ported to Hugo by DevCows