Davide Ganna is a Senior Data Scientist based in Lombardy, Italy, with six years of experience building data-driven solutions and a focus on generative AI research and applications. He has progressed from software engineering roles in C# and Python to data science positions at BIP, Nielsen, and now Generali, blending production-grade engineering practices with advanced ML experimentation. Trained in networks and distributed systems (MSc, Aalborg) and electronic engineering (BSc), he brings a systems-minded approach to model deployment and scalable pipelines. Comfortable bridging research and business needs, he has experience delivering models into enterprise environments and collaborating across engineering teams. Colleagues describe him as a pragmatic innovator who balances curiosity about cutting-edge generative models with a strong sense for operational reliability.
6 years of coding experience
4 years of employment as a software developer
Master of Science Networks and Distributed Systems Engineering, Master of Science Networks and Distributed Systems Engineering at Aalborg University
Bachelor of Science Electronic Engineering, Bachelor of Science Electronic Engineering at University of Applied Sciences and Arts of Southern Switzerland
Flexible framework for transforming Pandas and Polars DataFrames using a modular data pipeline approach.
Contributions:9 releases, 5 reviews, 27 PRs in 3 months
data-pipelinedataframedataframespandaspolars
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