Morena Rivato
Ph.D Fellow at Aarhus University
Emilia-Romagna, Italy
Summary
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Senior🎓
Top SchoolMorena Rivato is a Ph.D. fellow and data scientist with 10 years of experience turning large, messy datasets into actionable insights using R, Python, SQL and machine learning. Based at Aarhus University, her research and practice span the full data lifecycle—data integration, web scraping and APIs, text mining/NLP, causal inference and interactive Shiny visualizations—bridging academic rigor with applied analytics. She combines econometrics and statistical modeling with modern ML and deep learning techniques to support automated decision-making and clear, reproducible analysis. A multilingual economist by training (summa cum laude BSc) who progressed through Business Intelligence to a PhD in Innovation, she’s equally comfortable teaching and presenting at conferences as she is shipping analytical apps. Her work often surfaces non-obvious patterns from heterogeneous sources, making complex models interpretable for stakeholders.
11 years of coding experience
Doctor of Philosophy - PhD, Innovation, Technology and Information Management, Doctor of Philosophy - PhD, Innovation, Technology and Information Management at Aarhus UniversityBachelor of Science (BSc), Economics and Management, Summa cum laude, Bachelor of Science (BSc), Economics and Management, Summa cum laude at Università degli Studi di TrentoMaster of Science (MSc), Business Intelligence, Master of Science (MSc), Business Intelligence at Aarhus UniversitetLLP-Erasmus, Business Administration, LLP-Erasmus, Business Administration at National University of Ireland, Galway
Stackoverflow
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Github contributions (5)
mrech/MITx_6.00.1x
Feb 2019 - Apr 2019
Contributions:39 commits, 31 pushes, 1 branch in 1 month
mrech/Deutsch
Feb 2024 - Nov 2024
Contributions:81 pushes, 1 branch in 9 months
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