Daniele Galloni
About Daniele Galloni
Daniele Galloni is a Senior Data & AI Scientist at Bending Spoons with extensive experience in data science, machine learning, and AI, having worked in various roles across Europe.
Current Role at Bending Spoons
Daniele Galloni currently serves as a Senior Data & AI Scientist at Bending Spoons. Since joining the company in 2021, Daniele has been based in London, Greater London, United Kingdom. His responsibilities include developing advanced data science and AI solutions, leveraging his extensive experience in areas such as computer vision, natural language processing (NLP), and automated trading.
Previous Role at iCoolhunt/Nextatlas
From 2017 to 2021, Daniele Galloni was the Head of Data & AI (Chief Data Scientist) at iCoolhunt/Nextatlas in Turin, Piedmont, Italy. During his tenure, he led data science initiatives, focusing on social-media data analysis, customer analytics, and sales forecasting. His role involved spearheading the development of data-driven insights to inform business strategies.
Experience with Blockchain Systems for the Energy Sector
In 2017, Daniele Galloni worked as a Data Scientist (contractor) for Electron - Blockchain Systems for the Energy Sector. This four-month contract involved projects in both Turin, Italy, and London, UK. He applied his data science skills to the energy sector, contributing to blockchain-based solutions for energy management and efficiency.
Academic Background in Theoretical Particle Physics
Daniele Galloni completed his PhD in Theoretical Particle Physics at Durham University from 2011 to 2015. Prior to that, he earned a Master's degree in Theoretical and Mathematical Physics from the University of Cambridge in 2011 and a Year Abroad at Utrecht University for the same field from 2009 to 2010. His academic journey began with a Bachelor's degree in Physics from Uppsala University, which he completed in 2009.
Expertise in Computer Vision and NLP Models
Daniele Galloni has developed and deployed seven computer vision models and six NLP models, all currently in production. His expertise covers various domains, including medical imaging, automated trading, social-media data, and customer analytics. Daniele's work demonstrates a strong capability in transforming complex data into actionable insights, furthering uses in both commercial and medical fields.