Summary
Albertine Weber is a Senior Data Scientist based in São Paulo with over six years of hands-on experience building machine learning, optimization and deep learning solutions for clients at McKinsey/QuantumBlack and now at Wildlife Studios. Trained as a physicist (BSc Hons, UFRGS) and currently deepening business and analytics acumen through an MBA in Data Science at USP, she blends strong quantitative rigor with product-focused translation of business problems into production-ready pipelines. She is proficient in Python, SQL, TensorFlow, Azure and GCP, and routinely applies agile practices and collaborative soft skills to deliver impact. Her background spans building end-to-end data pipelines, KPIs and experiment designs across research and commercial environments. A practical tinkerer, she also maintains a side-project-focused GitHub account, reflecting a curiosity for quick, creative data experiments beyond client work. Colleagues describe her as a problem-solver who moves smoothly between deep technical modeling and clear stakeholder communication.
6 years of coding experience
7 years of employment as a software developer
Master of Business Administration - MBA Data Science & Analytics, Master of Business Administration - MBA Data Science & Analytics at USP - Universidade de São Paulo
Bachelor of Science (Honours) in Physics, Bachelor of Science (Honours) in Physics at Federal University of Rio Grande do Sul
High School, High School at Long Bay College
High School Diploma, High School Diploma at Colégio Bom Conselho
Portuguese, English, Spanish