Personal Summary
Internet Systems student and Researcher, specializing in Data Engineering and
AI with
focus on practical and scalable solutions. Combine analytical capability and
systemic vision to transform data into actionable insights. Demonstrate
autonomy and adaptability working with multiple technologies. Exhibit
proactivity in research projects and technical competitions, plus
clear communication developed through academic mentoring and team collaboration.
Seek challenges requiring critical thinking and data-driven innovation.
Professional Summary
Seeking an Internship or Junior position as a Data Engineer with interest in the entire
data lifecycle,
working from DataOps to analysis and insight generation. Have strong interest in Data
Science,
Data Analysis, and AI Engineering, including topics like machine learning and deep
learning.
Additionally, can contribute in backend development with focus on API creation and
system maintenance.
Academic Background
Technologist in Internet Systems
Federal Institute of Paraíba (IFPB)
2022 - 2026 (expected)
Technological degree with emphasis on
web systems development, programming (front-end
and back-end),
databases, networks, information security and project management, aligned with National
Curriculum Guidelines:
- Relevant coursework: Programming (Java, Python, JS), Web Services, Databases,
Networks and Security, Software Engineering, Project Management, Cloud
Computing,
Artificial Intelligence
- Software and AI engineering lab: Development of functional prototypes and
academic projects
- Database integration, APIs, data flow automation, and ETL
- Academic projects and scientific research involving data analysis, visualization,
and predictive modeling
My education stands out particularly in
software engineering and API construction.
Certifications
HCIP Big Data Developer
Advanced professional certification focused on developing applications in
distributed Big Data environments. Covers modern practices for data integration,
performance optimization, and usage of frameworks like Hadoop and Spark,
plus standards for large-scale projects targeting analysis and processing of massive
data volumes.
HCIA Big Data Associate
Foundational certification validating mastery of Big Data ecosystem fundamentals,
including distributed architecture, parallel data processing, information
security, and integration of diverse data sources. Provides a solid foundation
for data analysis and engineering projects.
Certificates
Training in Artificial Intelligence and IoT
Practical training focused on real-world applications of Artificial Intelligence
and Internet of Things. Includes development of integrated solutions with sensors and
microcontrollers, data collection via communication networks (such as
MQTT), and application of machine learning algorithms for automation,
prediction, and intelligent control.