Summary
Natália Soares is a data scientist with eight years of experience building data warehouses, ETL/data lakehouse pipelines, and near-real-time analytics for product and business decision-making. Currently pursuing an M.Sc. in Data Engineering and Analytics at TUM, she combines academic rigor with hands-on roles at Holidu and Airbus, progressing from junior analyst to data scientist. Her background spans AI research, embedded systems and robotics, and teaching roles—evidence of a strong foundation in algorithms, experimentation and clear technical communication. She excels at turning complex data transformations into reliable production workflows and actionable dashboards, and she’s motivated by environments that foster both technical growth and leadership development. An unusual strength is her blend of research experience in Electrical Impedance Tomography and practical engineering work, which gives her a cross-disciplinary perspective on data-driven problem solving.
8 years of coding experience
7 years of employment as a software developer
Engineer's degree, Engenharia de Computação, Engineer's degree, Engenharia de Computação at Centro de Informática UFPE
Master of Science (M.Sc.), Data Engineering and Analytics, Master of Science (M.Sc.), Data Engineering and Analytics at Technical University of Munich
Engenharia eletronica, Engenharia Elétrica e Eletrônica, Engenharia eletronica, Engenharia Elétrica e Eletrônica at Universidade Federal de Pernambuco
Portuguese, English, German