I’m an Electrical Engineer with a strong background in industrial maintenance, inspection, and project management — now expanding my career into Artificial Intelligence and Data Analysis applied to engineering and Industry 4.0.
Over the past few years, I have worked on high-complexity projects in the mining, energy, and industrial sectors, focusing on technical compliance, operational efficiency, and team coordination. This hands-on experience has given me a deep understanding of industrial systems and the importance of data in driving smarter and more efficient decisions.
Currently, I’m completing a postgraduate degree in Artificial Intelligence and Machine Learning at PUC Minas and have successfully finished the FEP Program (Fundamentals of Engineering and Programming in AI) by INEMATDS. Through these programs, I’ve developed strong practical skills in Python, Power BI, SQL, Machine Learning, Prompt Engineering, RAG, LangChain, and Data Visualization.
I’m particularly interested in using data and AI to optimize processes, enhance predictive maintenance, and support digital transformation in engineering environments. My goal is to bridge my technical field experience with modern technologies like Machine Learning, Automation, and AI-based analytics, helping organizations improve performance, safety, and sustainability.
I’m a detail-oriented professional who values precision, collaboration, and continuous improvement (5S, PDCA). Whether working independently or as part of a cross-functional team, I strive to deliver solutions that combine technical excellence with measurable results.
💡 I’m currently open to remote or hybrid opportunities related to:
Let’s connect to discuss how I can help bring data-driven innovation to your engineering or industrial projects.