Data Scientist PhD. in Computer Science Professor
More About MeI am a Ph.D. student in Computer Science at Universidade Federal de Minas Gerais (UFMG). I hold my Master's Degree in Computer Science at the same university in December 2016. My Bachelor's Degree in Information Systems was obtained at Universidade Federal do Espírito Santo (UFES) in July 2014. I'm currently a member of the Laboratory of Interdisciplinary Computer Science (CS+X), and my research is focused on data analysis on collaborative domains, such as music, social networks, and open government data. My main interest in Computer Science research has a strong emphasis on open government data, data science, and analysis of complex networks. Recently, I have been working on Bàde Project (Metrics on Data from/to Social Networks in Different Contexts). My scholarship is financed by CAPES.
My career is mostly academic, where I could have experiences teaching computer courses, and even guiding students in graduate courses in data science and big data.
October 2018 - Present
I currently work with music networks, and open government data.
February 2018 - August 2018
I was an advisor for graduate students in data science and database.
July 2018 - September 2018
I produced bibliographic material for Database discipline (EAD), such as textbook, questions, presentations and etc.
February 2017 - February 2018
I had the most solid experience as a teacher at this institution. It was a year of great learning.
August 2014 - December 2016
My Master's degree was entitled "Mapping Geographic Conceptual Schemas to NoSQL Graph Databases".
August 2009 - June 2014
I was in the first class of Information Systems at Ufes (Alegre-ES). I am very grateful for this university..
February 2006 - December 2008
Despite not working in this area, I had the opportunity to start my journey as a researcher when I took the technical course in agriculture and livestock. I worked as a research assistant in a Physics project, which I consider a milestone in the beginning of my career.
2020
Govern transparency is widely accepted as an effective democratic process in many countries. In Brazil, the information-access law contributes to public administration transparency, as public data is available on the Web. However, such data are in different formats and not standardized, which makes it difficult to obtain information, mainly in an automated way. Hence, this work presents an enrichment method for an existing open Brazilian judiciary database, a characterization of the available data, and an analysis of the data about judiciary professionals and their earns. The results reveal a lack of linear correlations between the high salaries and their personal benefits. Also, there is a discrepancy between Judiciary salaries and advantages through Brazilian regions, which may be explained by the higher living costs in some regions. Finally, our study reveals the administrative Brazilian Judiciary data do not conform to all Open Government Data principles, and the enriched database helps to solve such problems.
2020
We analyze and identify collaboration profiles in success-based music genre networks. Such networks are built upon data recently collected from both global and regional Spotify weekly charts. Overall, our findings reveal an increase in the number of distinct successful genres from high-potential markets, pointing out that local repertoire is more important than ever on building the global music ecosystem. We also detect collaboration patterns mapped into four different profiles: Solid, Regular, Bridge and Emerging, wherein the two first depict higher average success. These findings indicate great opportunities for the music industry by revealing the driving power of inter-genre collaborations within regional and global markets.
2019
Digital forensics is a science that seeks to identify, preserve, retrieve, analyze, and present evidence of crime in data. In Brazil, the Law of Information Access allows public data to be audited or undergo a forensic analysis. However, many of these data are in PDF or in large spreadsheets, which makes any type of analysis difficult. Thus, this work presents JusBD, a relational database that represents an advance for the analysis of public data by integrating datasets of the Brazilian judiciary. Therefore, JusBD allows obtaining various information about the judiciary and enables a forensic analysis.
2015
To the best of our knowledge, there is no generic mapping from conceptual schemas to NoSQL physical schemas. This paper tackles such problem in the context of geographic databases. We discuss the solution of mapping conceptual schemas to hybrid relational/NoSQL physical schemas.
2012
A busca por um modo prático e seguro para armazenar informações, fez com que o ser humano se reinventasse a respeito dos bancos de dados. Na área de saúde, essa necessidade também se faz presente, pelo simples fato de manter um registro de todos os dados de um paciente. Com a tecnologia sempre avançando, é normal que exista uma relação entre a informática e a área da saúde, pois para os médicos e agentes da saúde são necessários os registros de cada paciente, e com o banco de dados em sua visão computacional tem exatamente o papel de ponte, que liga a informática à saúde. Desta forma, o objetivo do artigo é fazer um levantamento dessa relação entre banco de dados e a área da saúde, obtendo nomes de pesquisadores influentes na área, eventos e instituições ligadas ao assunto, possibilitando novas oportunidades para projetos que aplique o banco de dados como sendo uma ferramenta essencial para a área da saúde.
Since February 2020 I have been practicing the "low carb" lifestyle along with intermittent fasting. I am interested in this area because my previous lifestyle favored weight gain (among other harms) even though I was a "gym rat". The YouTube / Instagram channels of influencers like Rodrigo Polesso and Senhor Tanquinho and the channels of doctors like Dr. Souto and Dr. Gabriel Almeida were and are some of my sources for learning about this evidence-based food lifestyle. Soon I will post more details about this lifestyle!
Lab CS+X
Dept. of Computer Science - UFMG
Av. Presidente Antônio Carlos, 6627
Pampulha, Belo Horizonte, MG, Brazil
CEP: 31270-901
daniloboechat@dcc.ufmg.br
Phone: +55 31 3409-1480