Summary
Derian De Alencar is a systems analyst and data scientist with 10 years of experience combining academic research and industry AI work, currently applying machine learning at WEG’s Digital Technologies group in Jaraguá do Sul. With a Computer Engineering degree and a master's in Computer Science focused on networks and cloud/fog computing, he has implemented NS-3 modules, automated large-scale simulations, and published national and international papers. He brings hands-on skills in Python, Java, C/C++, statistics and ML, and a proven ability to turn simulation and experimental data into visualized, publishable insights. Known for persistence and quick learning, he thrives at the intersection of research and production, importing rigorous academic methods into industrial ML workflows. An under-the-radar asset is his experience automating simulation pipelines on Linux, which speeds reproducible experiments and model comparisons in production settings.
10 years of coding experience
Mestrado em Ciências da Computação, Sistemas de computação/Redes de comunicação, Mestrado em Ciências da Computação, Sistemas de computação/Redes de comunicação at Universidade Federal do Pará
English, Spanish