Valeria Diaz is a Researcher and Senior Data Scientist with 11 years of experience bridging bioscience engineering and advanced data science, currently advancing ML-driven solutions at Software Competence Center Hagenberg. She holds a PhD from KU Leuven and a strong statistical foundation (MSc magna cum laude), with a track record in deploying and maintaining prediction models for animal and human health monitoring. Valeria combines hands-on skills in R and Python with applied expertise in chemometrics, calibration transfer, and resource-optimized modeling developed during academic collaborations and industry roles. Her background spans marketing research automation and multivariate analysis to academic teaching, giving her an uncommon ability to translate technical methods into actionable insights for diverse stakeholders. Colleagues describe her as solution-focused and adept at aligning team needs with organizational goals to maximize efficiency and impact.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Bioscience Engineering, Doctor of Philosophy - PhD, Bioscience Engineering at KU Leuven
Bachelor's degree, Statistics, 92% - Honours degree, Bachelor's degree, Statistics, 92% - Honours degree at Universidad Nacional de Colombia
Contributions:17 commits, 9 pushes, 1 branch in 9 months
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Valeria Diaz - Researcher And Senior Data Scientist