I am a Data Scientist with a Bachelor’s in Electronic Engineering and a Master’s in Information Systems, boasting extensive international academic experience, including studies in Japan, the United Kingdom, and Canada. My academic journey has equipped me with a diverse knowledge base, allowing me to develop projects in various programming languages.
My industry experience has further honed my technical skills, critical thinking, and ability to solve complex problems in a structured and effective manner. I am flexible, proactive, and collaborative, capable of adapting to new challenges and contributing to shared objectives.
My professional interests primarily revolve around Deep Learning, IoT, and Multi-objective Problems. I possess robust skills in programming languages such as C, C++, Bash (Unix), and Python, alongside proficiency in Machine Learning frameworks like scikit-learn, PyTorch, and FastAI. I am familiar with databases like PostgreSQL and InfluxDB, and the software version control tool Git.
I am eager to establish new connections and explore collaboration opportunities with fellow professionals and organizations. Should you be interested in discussing potential projects or research opportunities, I would be delighted to connect and contribute to the development of innovative solutions.
Education
- Sept 2012 ~ Aug 2013 – Concordia University, Canada
- Exchange Student, Electrical Engineering
- Jan 2010 ~ Jul 2016 – Federal University of Technology - Parana (UTFPR), Brazil
- Bachelor of Engineering in Electronics
Research Experience
- Apr 2017 ~ Mar 2019 – Shinshu University, Japan
- Study the impact of difficult Pareto set topologies on the performance of multi-objective evolutionary algorithms (MOEA), and proposal of a new method to improve MOEA’s performance on such problems.
- May 2013 ~ Aug 2013 – Concordia University, Canada
- Short research on the use of software filters to decrease signal interferences from eyes and muscles in electroencephalography.
- Apr 2011 ~ Aug 2012 – Federal University of Technology - Parana (UTFPR), Brazil
- Supported a master’s student in business administration on the development of a Windows application that implemented the proposed method of his thesis.
- Support to a medical research group on the development of an Android OS application for monitoring patients with diabetes.
Industry Experience
- Oct 2014 ~ Dec 2015 – Internship at SSE Gridtech, Brazil
- Jan 2016 ~ Aug 2016 – R&D Engineer at SSE Gridtech, Brazil
- Embedded system development for long-distance communication radio as part of a smart metering solution.
Award and Recognition
- Best Student Paper Award, International Conference on Evolutionary Multi-Criterion Optimization (EMO) 2019.
- Young Researcher Award, IEEE Computational Intelligence Society Japan Chapter, Japanese Symposium on Evolutionary Computation 2018.
- Young Research Paper Award, IEICE Shin-etsu 2018 Branch IEEE Session.
Technical Expertise
Programming Languages: Python, Assembly, C, C++, Java, Bash (Unix Shell)
Environment Tools: MATLAB, R Studio, Android Studio, OrCAD, Quartus II