Petrônio Cândido de Lima e Silva

Montes Claros, MG, Brazil petronio.candido@ifnmg.edu.br

I am a professor, researcher, and consultant, currently working at the Federal Institute of Northern Minas Gerais - IFNMG and living in Montes Claros, State of Minas Gerais, Brazil. My interests include everything related to Data (Databases, Data Science, Data Engineering, Data Management, etc), Computational Intelligence (Fuzzy Systems, Neural Networks, Evolutionary Computing, etc), Software development, and related stuff. I am also interested in innovation, sustainability, human and animal rights, and social good.

I am a passionate researcher and I am co-founded {ci∂ic} - the Research Group In Data Science and Computational Intelligence of IFNMG, and collaborate with many other research groups and laboratories as MINDS - Machine Intelligence and Data Science group at School of Engineering of UFMG, FutureLab research laboratory at DCC/UFMG, and LICA - Applied Computational Intelligence at Unimontes.

Experience

Postdoctoral Researcher

FutureLab - DCC / UFMG
  • Researching on complex time series embeddings and classification.
  • Development of the Flautim: a cloud machine learning platform for Federated Learning.
2023 - 2025

Data Scientist and Researcher

Rede Data Science BR
  • Worked with data integration pipelines (Apache HOP, Pentaho Data Integration, Power BI), dimensional data modeling, and dashboard design (Power BI) .
2022 - Present

Professor and Supervisor

Programa de Pós-Graduação em Modelagem Computacional e Sistemas - PPGMCS / Unimontes
2020 - Present

Coordinator and Researcher

Data Science and Computacional Intelligence Research Group - {cidic}
2019 - Present

Professor and Researcher

Instituto Federal do Norte de Minas Gerais - IFNMG
  • Educational activities include courses on Databases (using MySQL and Hadoop), Software Development and Engineering (using UML, Java and Git) and Machine Learning (Fuzzy, RNA, Evolutionary Computing, clustering, etc).
  • Extension activities included free and open source software development, data warehouse and business intelligence development, planning and execution of several Technical Speeches, Meetings and Technical Visitations for students.
  • Research activities include the position of Coordinator of {cidic} - Grupo de Pesquisa em Ciência de Dados e Inteligência Computacional (Data Science and Computational Intelligence Research Group)
  • Administration activities include the former position of Post-Graduation Coordinator on IFNMG Januária campus
2013 - Present

Professor

Faculdades Santo Agostinho
  • Educational activities include courses on Databases (using SQL Server), Software Development and Engineering (UML and .Net Framework), Machine Learning, Data Warehouse and Business Intelligence (Pentaho)
  • Extension activities included the planning and execution of several Technical Speeches, Meetings and Technical Visitations for students.
  • Research activities included the creation of the Study Group on Applied Data Mining (Grupo de Estudos em Mineração de Dados Aplicada - GEMA).
2009 - 2012

Developer and Software Architect

Inovesys Technologies
  • Software craftmanship, UML, Agile
  • Git, Github
  • .Net Framework, C#, ASP.Net, Visual Studio, SQL Server
2007 - 2012

IT Manager

Faculdades Santo Agostinho
  • IT Management (ITIL), Data Management (DMBOK)
  • Windows Server 2003 administration, Debian Linux Server administration, Network Infrastructure administration
  • .Net Framework, C#, SQL Server
  • Data Warehousing (SSIS) and Business Intelligence.
2002 - 2007

Education

Doctor in Electrical Engineering - Computational Intelligence

Universidade Federal de Minas Gerais - UFMG
Scalable Models For Probabilistic Forecasting Using Fuzzy Time Series
Keywords: Computational Intelligence, Time Series Analysis, Fuzzy Systems, Probabilistic Forecasting, Distributed Computing
2015 - 2019

Master in Informatics

Pontifícia Universidade Católica de Minas Gerais (PUC/MG)
Knowledge Discovery In Spatio-Temporal Databases Applied For Hydrological Risk Forecasting
Keywords: Knowledge Discovery in Databases, Spatio-Temporal Databases, Bayesian Networks, Decision Trees, Flood Forecasting
2007 - 2010

Bachelor in Information Systems

Faculdade De Ciências Exatas e Tecnológicas Santo Agostinho - FASA
Backpropagation Algorithm Parallelization For Beowulf Clusters
Keywords: Artificial Neural Networks, Cluster Computing, Backpropagation Algorithm
2002 - 2005

Skills

General Skills
  • Portuguese, English
  • Data Science, applied machine learning, descriptive and predictive analysis, spatiotemporal forecasting models
  • Computational intelligence, Fuzzy Systems, Cognitive Systems, Evolutionary Computation, and MetaHeuristics
  • Databases, Data Management, Data Warehouses (ETL, OLAP, Dashboards), Non-Relational Databases (NoSQL), Data Engineering (Data pipelines)
  • Agile Development, Scrum and Kanban
Programming Languages & Tools
  • Python, R, Java, C#
  • Jupyter, Google Colab, Hadoop/Spark, Amazon
  • Hitachi Vantara, PowerBI, Tableau, Knime, Metabase
  • Git, Github
  • Latex, Mendeley, Overleaf
  • Linux, Android

Interests and hobbies

I am a passionate fan of Cruzeiro Esporte Clube soccer team and the Green Bay Packers american football team. I love watching Rugby championships but I not a fan of any particular team.

I am a Brazilian Jiu-Jitsu black belt (2016), and I love this martial art and its philosophy. I started training BJJ in 2009 and it rapidly made me more confident and balanced, so I strongly recommend its practice for everyone. Currently, I teach this martial art as a hobby and plan to start a social project aiming to help women and LGBT+ people to self-defend themselves.

I am also a nature lover and an outdoor sports practitioner. I particularly like rock climbing, but sometimes I also try a little bit of slackline, trekking and touristic speleology. I love music (rock, jazz, Brazilian music, classical) and I like to play guitar and percussion.

Publications and Intellectual Production

Journal and conference papers

Presentations and talks

Open Source software and libraries

Tutorials, short courses and courseware