Introduction to R for Data Science
Foundations of the R language for data manipulation, visualization and exploratory data analysis.
Industry 4.0/5.0 · MCDM · Data Analytics
Hello, I am
INPI · INFNET Institute · PUC-Rio
I research multicriteria decision-making, digital transformation and sustainable operations — and I teach predictive analytics and time series to the next generation of data scientists.

15+
years of engineering, research and teaching

About me
I am a researcher and professor working across operations management, multicriteria decision-making and data analytics. Since 2016 I have been a researcher at the Brazilian National Institute of Industrial Property (INPI), and I currently teach predictive models and time-series analysis in the Data Science MBA at INFNET Institute. My path includes a PhD from CEFET/RJ, postdoctoral research at PUC-Rio and the University of Münster (Germany), and previous experience as an engineer officer in the Brazilian Navy.
My research focuses on Industry 4.0/5.0, sustainability and lean management, combining methods such as MCDM, machine learning and non-parametric models to support real-world decisions in operations and supply chains.
Curriculum Vitae
Education, professional experience and honors across industry, the Navy and academia.
2024 — present
Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
In progress, expected completion in 2028. Research on operations management and decision support, supervised by Prof. Luiz Felipe Scavarda.
2025 — 2026
University of Münster (WWU), Germany
CNPq fellow at the Department of Information Systems, focusing on operations management in Industry 5.0.
2022 — 2024
Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
Multicriteria decision support, operations research and the Internet of Things.
2022 — 2024
IBMEC
Specialization in data analysis and big data technologies (450 hours).
2020 — 2022
Fluminense Federal University (UFF)
Dissertation: a taxonomy development methodology using MCDA and literature review, applied to IoT barriers and enablers in healthcare.
2015 — 2020
CEFET/RJ
Thesis: a reconfigurable, tunable multilayer structure operating as a CMOS-compatible modulator/polarizer.
2012 — 2014
CEFET/RJ
Dissertation on the relation between gain ripple and pump-pump interaction in broadband distributed Raman amplifiers.
2006 — 2010
Estácio de Sá University (UNESA)
Capstone project on FSO links applied to cellular backhauls. PROUNI scholarship holder.
2016 — present
Brazilian National Institute of Industrial Property (INPI)
Patent examination in telecommunications, working on technological innovation and data analysis.
2025 — present
INFNET Institute
Teaching predictive models and time-series analysis in the Data Science MBA program.
2023
EBPAR
Applied multicriteria decision-making methods for resource optimization at PROCEL.
2021 — 2022
Estácio de Sá University
Taught undergraduate courses in physics and electricity & electronics.
2011 — 2016
Brazilian Navy
Specification and deployment of naval communications systems. Technical representative at the BAE Systems shipyard in Portsmouth, UK (2013).
2025
CNPq — University of Münster
2023
KNIME
2013
University of Cambridge
Publications
Research projects
Current and past research projects I coordinate or take part in, with public and academic funders.
2026
Selected under ENAP's Cátedras Program (2025). Assesses the multidimensional impact and efficiency of the Cisterns Program and develops an integrated methodological framework to support strategic decisions on its expansion, using data science, causal inference, efficiency analysis and multicriteria support.
2023 —
International cooperation project. Investigates theories and practices for the digitalization, integration and sustainability of supply chains under the Industry 5.0 paradigm.
2023 —
Integrates Industry 4.0, Lean Management and Circular Economy for sustainable development via multimethod Design Science Research, combining qualitative analysis and quantitative techniques (MCDM, machine learning).
2017 —
Consolidates expertise in sensors, communications and optical information processing, integrating devices and solutions for Brazilian industry.
2016 — 2020
Physical-mathematical modeling, new materials and optical device prototypes for sensing and signal processing, training human resources in Photonics and Optoelectronics.
Teaching
Teaching across undergraduate, specialization, master's and doctoral programs.
Foundations of the R language for data manipulation, visualization and exploratory data analysis.
Integrative project applying artificial intelligence to a real-world problem, from definition through presentation of results.
Fundamentals of fluids, thermodynamics and oscillations for engineering programs, with lab experiments.
Electric circuits and applied electronics for audio systems, combining circuit theory with practice.
Analysis of electric power systems, covering power flow, stability and power quality.
Predictive modeling techniques applied to business problems, from model fitting to rigorous performance evaluation.
Time series decomposition, forecasting and evaluation with hands-on data science applications.
Research planning, literature review, methodological design and scholarly communication for master's and doctoral students.
Using patent documents to search, analyze and prospect technological information in master's and doctoral research.