Summary
Luisa Cavalcante is a Data Scientist with eight years of engineering experience, combining a Computer Engineering background and ongoing graduate research in Active Learning and Semi-Supervised Learning. She currently applies ML to high-impact banking operations at Itaú Unibanco while pursuing a master's at UFPE, bridging research and production. Her career spans startups and industry—founding an ergonomic-safety IoT venture that delivered real-time embedded systems and leading ML work for real estate operations using LLMs—demonstrating fluency across embedded C++/ESP32 stacks to large-scale ML pipelines. Based in São Paulo, she brings a practical focus on deploying models that inform financial decision-making and operational efficiency. Notably, her profile blends hands-on hardware/embedded innovation with current work on cutting-edge, data-driven banking solutions, making her adept at translating research insights into production impact.
7 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Engineering, 8/10, Bachelor's degree, Computer Engineering, 8/10 at Centro de Informática UFPE
Academic Exchange, Computer Engineering, Academic Exchange, Computer Engineering at Polytechnique Montréal
English, Portuguese, French