What matters to us
Always devoted to transform your data into actionable insights exploiting the newest technologies.
Diversity & Inclusion
Every voice contributes to growth.
Committed to transparency
and respect of the data and the users.
Meet the team
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.
CEO & Founder
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.
Partner Data Scientist
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.
Gloria is a highly transversal person determined to learn something new everyday.
She always had a real zest for humans and technology, and let these passions lead her through a mixed academic path firstly in Psychology and then in Data Science.
Her goal is to understand how humans and data intersect with each other in order to bring useful and data driven insights.