Linda Perez is an Applied Data Scientist with 12 years of experience building data pipelines, databases, and machine learning systems, currently based in San Jose. She combines hands-on engineering (Python, PyTorch/TensorFlow, Spark, Docker/Kubernetes) with strong SQL/PL-SQL and ETL expertise developed across financial and research domains. Linda has a track record of turning messy, federated data into audit-ready repositories and visualizations that drive research and compliance decisions. Her roles span data engineering, scraping, and software development, giving her an unusual fluency from low-level data collection to model deployment on cloud platforms (AWS/GCP). At From Origins LLC she has focused on rigorous data governance and reproducible analyses for stakeholders including government and grant agencies. She is equally comfortable debugging production ETLs as she is prototyping models, making her a pragmatic bridge between research teams and production systems.
12 years of coding experience
2 years of employment as a software developer
Engineering in Computer Sciences, Computational Science, Engineering in Computer Sciences, Computational Science at Universidad Simon Bolívar
Contributions:2 pushes, 1 branch in 2 years 9 months
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