Summary
Alena Sousa is a product-focused data scientist and engineer with 10 years of experience building data models, ML-enabled backends and cloud infrastructure at Deloitte from consultancy to product launch. She prefers pragmatic, production-ready ML over prototypes and has operationalised models and CI/CD/IaC patterns across AWS, GCP and Azure, plus monitoring and model lifecycle tooling like MLflow and Datadog. At Deloitte she led efforts to industrialize ML—creating forecasting models with sub-5% short-term error, process-mining analytics, and a summarizer REST API for a SaaS marketplace. A dual Nanodegree graduate in Machine Learning (AWS & Azure) with an M.Sc. in Statistics, she blends rigorous analysis, developer tooling (Python, Docker, Terraform) and product thinking to enable teams to ship reliable ML services. Based in Berlin, she also channels her product energy into CAMPfire, a marketplace to distribute SaaS solutions and APIs.
10 years of coding experience
6 years of employment as a software developer
Spesialist, Publishing Management, 4.7 out of 5 (excellent), Spesialist, Publishing Management, 4.7 out of 5 (excellent) at Moscow State University of Printing Arts (MGUP)
Nanodegrees, Machine Learning Engineer, Nanodegrees, Machine Learning Engineer at Udacity
Bachelor, Management and Economics, 1.4 (top 5%), Bachelor, Management and Economics, 1.4 (top 5%) at Otto-von-Guericke-Universität Magdeburg
Master's Degree, Statistics, 1.7, Master's Degree, Statistics, 1.7 at Humboldt-Universität zu Berlin
Russian, English, German, Russian