Vini Sousa is a Senior Data Scientist with 7 years of experience blending econometrics, applied statistics and MLOps to turn causal inference into business-ready measurement and personalization solutions. Currently at Mercado Livre, he leads development of causal measurement methodologies for marketing efficiency across multiple countries, building on prior roles that delivered LTV prediction, customer-level profitability, and offer personalization at Digio. Comfortable with distributed environments and production tooling (Spark, Docker, Flask/Plumber APIs), he combines rigorous academic training in economics and mathematical methods with hands-on software engineering for scalable data products. Pragmatic and curious, he often bridges Data Product Owners and engineering teams to operationalize experiments and causal models, making statistical rigor directly actionable for stakeholders.
7 years of coding experience
3 years of employment as a software developer
Graduate Summer School, Mathematics, Graduate Summer School, Mathematics at Universidade Federal de Santa Catarina
Bachelor's degree, Economics, Bachelor's degree, Economics at Universidade do Estado de Santa Catarina
Graduate Summer School, Mathematical Economics, Graduate Summer School, Mathematical Economics at Instituto Nacional de Matemática Pura e Aplicada
International Student, Economics and Data Analysis, International Student, Economics and Data Analysis at University of Limerick
Contributions:174 commits, 45 PRs, 119 pushes in 3 months
pythonsciencedata-sciencemachine-learningspark
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