Carlos Sequeira is a data scientist and quantitative researcher with eight years of experience building production-ready analytics and ML solutions from Lisbon. Currently at EDP, he combines applied research and engineering to turn noisy sensor and business data into actionable insights, having previously developed a fiber-optic tip integrity monitoring system using a full data‑science workflow. His background includes software development and blockchain work at Aptoide, where he helped dramatically improve an automated APK repair system from ~30% to over 90% success. Trained at Instituto Superior Técnico (BSc and MSc in Data Science & Engineering), he brings both rigorous academic foundations and hands-on product experience, often bridging model development with deployable automation. An analytical problem-solver, he favors pragmatic feature engineering and robust pre-processing to make models resilient in real-world operational settings.
8 years of coding experience
1 year of employment as a software developer
High School Course, Science and Technology, 17/20, High School Course, Science and Technology, 17/20 at Escola Secundária Engº Acácio Calazans Duarte
Bachelor's degree, Computer Science and Engineering, 15/20, Bachelor's degree, Computer Science and Engineering, 15/20 at Instituto Superior Técnico
Contributions:1 PR, 51 pushes, 1 branch in 3 years 4 months
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