Summary
Fernanda Mascheti is a Computer Engineer and educator who designs K-12 curricula at the intersection of computational thinking, AI literacy, and equity, reaching over 800,000 students across Brazil. With seven years of experience, she teaches Data Science and AI at Senac São Paulo while consulting and researching with Columbia University's Teachers College Learning Technologies Lab. Her work spans curriculum frameworks aligned with Brazil’s BNCC, teacher training, AI policy, and children's data rights, combining technical fluency in data pipelines and ML with critical pedagogy. She has led content strategy and scaled digital learning programs for municipal networks, building playful, project-based units that use Scratch, Python and real datasets. Prior roles in industry and public education sharpen her ability to translate data insights into classroom practice and organizational decisions. Unexpectedly, her background in industrial mechanics and political science informs a pragmatic, systems-minded approach to educational technology and policy.
7 years of coding experience
Bachelor of Education - BEd, Elementary Education and Teaching, Bachelor of Education - BEd, Elementary Education and Teaching at Instituto Singularidades
Associate's degree, Technology in Industrial Mechanics, Associate's degree, Technology in Industrial Mechanics at Senai São Paulo
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Univesp Oficial
Bachelor's degree, Political Science and Government, Bachelor's degree, Political Science and Government at Centro Universitário Internacional UNINTER
English, Portuguese