Andrea Riba is a Data Scientist with nine years of experience building scalable data and machine learning systems for finance and biotech, currently optimizing business processes at Leroy Merlin in Milan. He combines industrial risk-engine development on Google Cloud with a strong academic background in single-cell RNA-seq and stochastic modeling from postdoctoral roles and a PhD, bringing rigor from publications to production. Proficient in Python, R, C++ and TensorFlow, he has implemented structured finance models for major banks and developed AI pipelines on HPC and cloud platforms. His profile blends credit risk and blockchain interests with hands-on MLOps experience, making him equally comfortable with model research and operational deployment. Notably, his trajectory shows a rare shift from deep academic research to pragmatic enterprise risk engineering, preserving reproducibility and mathematical clarity in production systems.
8 years of coding experience
7 years of employment as a software developer
Master degree, Theoretical Physics, 110/100 cum laude, Master degree, Theoretical Physics, 110/100 cum laude at University of Turin
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