Andrea has over 30 years’ experience in designing, building and running new data science tools and systems.

His background of successful innovation in audience, market and media research, includes segmentation and targeting tools that have been widely adopted by the international media and advertising community.

Andrea developed several measurement systems including the world-first nation-wide GPS-based outdoor currency Audiposter, the multi-media portable meter Eurisko Media Monitor, as well as Sky Italia’s SmartPanel.

Lorenzo is a dedicated data scientist and mathematician, passionate about uncovering the logic behind every process and problem.
With a keen analytical mind, he approaches challenges with curiosity and determination, relishing complex problems and finding elegant solutions.
Lorenzo thrives on discovery and the satisfaction of unraveling data patterns and mathematical concepts.
His commitment to understanding drives him to explore new knowledge and continuously refine his skills, contributing meaningfully to the field.

Filippo has a background in Physics and Astrophysics. His Master's thesis at the Max Planck Institute for Extraterrestrial Physics, compared large galaxy and X-ray survey catalogs. His Bachelor's thesis applied a similar strategy to a sensitivity study for the JUNO neutrino experiment.
He carries that scientific mindset into his work as a Data Scientist at dataBreeders, approaching data modelling and statistics with the same rigor and mathematical grounding used in physics, and the same instinct to question and verify results before trusting them.

Ivan is a backend and cloud engineer specialising in serverless systems on AWS.

He builds GraphQL and REST APIs, event-driven data pipelines, and the infrastructure-as-code that deploys them — working day to day with Python, AWS CDK, Lambda, DynamoDB, AppSync, Step Functions, and a lot of other AWS services.

His focus is production reliability: multi-tenant access control, authentication and role-based permissions, automated deploys across separate client accounts and environments, and CI/CD pipelines that make releases boring. He takes projects from schema design through to a running, monitored system.

Giacomo is highly dynamic and keen to take on new digital challenges.
He is passionate about technology. Giacomo is a serial entrepreneur with experience in helping startups grow fast to reach scale as a co-founder and data scientist. His success in building people analytics and developing team management tools has had a significant impact on business growth and teams reaching peak performance.
He built custom predictive algorithms for team performance, mining HR data to create an evidence-based approach. He brings useful insights into the human psychology underlying data that help in designing human centric programs with higher presentability of successful outcomes.

Luca, a data scientist with a degree in statistics and a background in the energy sector, is now focused on the media and advertising industry, aiming to bring value through advanced machine learning techniques.
With an eye always on the big picture, Luca strives to transform data into strategic insights, driving innovation and success for our clients.
In short, Luca is poised to translate complex data into strategic business outcomes, anticipating market challenges with creativity and determination.

Francesco is a data scientist with a background in physics and astrophysics. He studied Physics at the Università degli Studi di Milano before earning a master's in Astrophysics at the Max Planck Institute for Astrophysics on detecting dark matter subhaloes in strong lens galaxies observed with the ALMA interferometer.
Pulling faint signals out of noisy data taught him a way of working that he now brings to business problems: rigour, curiosity, and a habit of not settling for the first plausible answer.
As the team's AI evangelist, Francesco follows the fast-moving world of large language models closely, separating what is genuinely useful from what is merely new. He brings emerging tools and techniques into the team's daily work and proposes concrete solutions, helping colleagues and clients alike understand what AI can realistically do for them today.

Costantino is extremely multifaceted and always eager to embrace new challenges.

He has worked in different fields during the past 7 years, such as civil engineering, automotive and media measurement, but always following the latest advances in technology.

Costantino is fascinated by what is hidden under raw data and ready to bring pragmatic solutions at dataBreeders.

Valeria approaches challenges and problems with a proactive attitude, finding as much satisfaction in the process as in the outcome itself.
Her curiosity for how things work took shape during her Computer Science studies, with a thesis developed on an internal company project - implementing a multi-account AWS pipeline for data auditing across production and quality control environments.
Passionate about programming, Valeria works on the infrastructural side of projects, drawn to studying a problem from every angle before addressing it, fascinated by the many facets an error can hide.
She looks for solutions that can extend across different contexts while still fitting precisely the particular needs of each one.

Lorenzo is a determined person who is always ready to raise the bar. He graduated in Data Science and Economics, completing his academic path that began with a bachelor’s degree in Marketing, Communication, and Global Markets.

His fascination with the information society inspires him to simplify complex data into clear, actionable insights, making the sophisticated accessible to all.

By bridging the gap between complexity and clarity, Lorenzo strives to empower others with knowledge, transforming intricate data into practical solutions that drive informed decision-making and foster innovation.