Julien Genovese is a Senior Data Scientist based in the Greater Milan area with four years of hands-on experience building production-ready ML systems across finance, transportation, telecommunications and security. He has led data science teams and designed architectures for applied solutions such as predictive maintenance for trains, data-driven anti-theft systems, and online payment antifraud models, while also serving client-facing and sales-oriented roles. Comfortable with mathematical modeling and programming, Julien brings a research-rooted rigor from work on stochastic Navier–Stokes and reduced-order methods to practical deployments in Python, R and MLOps. At Data Reply he helped steer innovation for the Financial Services BU before joining BPER Banca to drive data initiatives internally. Colleagues describe him as proactive and communicative, able to translate complex models into operational dashboards and business value. An appetite for continuous learning and a background in CFD-driven tools (including an R package and visualization work for avalanche risk) give him an uncommon blend of theoretical depth and applied engineering.
4 years of coding experience
5 years of employment as a software developer
Mathematical Engineering, Mathematical Engineering at Politecnico di Torino
In this repository we have all the codes that we have developed
Contributions:13 commits in 9 months
javadata-structurespythoncpp
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