Francesco Capponi

Francesco Capponi has extensive experience in data science and research. Francesco is currently working as the Lead Data Scientist at Everli since September 2021. Prior to that, they worked at Sky as a Data Scientist from July 2019 to January 2021. Francesco also worked as a Data Scientist at Worldpay from July 2018 to July 2019, where they built AI-based frameworks for optimizing approved transactions. Francesco has a background in scientific software engineering, having worked at the Met Office from August 2017 to July 2018. Francesco's early career includes a role as a PhD researcher in Theoretical Physics at Plymouth University from October 2013 to February 2017, during which they focused on designing algorithms for numerical simulations and studying field theories. Francesco also served as an Academic Demonstrator, tutoring and guiding physics students in laboratory sessions. Overall, Francesco Capponi's work experience demonstrates their expertise in data science, research, and theoretical physics.

Francesco Capponi obtained a Doctor of Philosophy (PhD) degree in Theoretical and Computational Physics from the University of Plymouth from 2013 to 2017. Prior to that, they completed their Master's degree in Theoretical Physics from Università degli Studi di Genova between 2009 and 2012. Francesco also holds a Bachelor's degree in Physics from the same institution, which they earned from 2006 to 2009. Additionally, Capponi has completed several certifications in the field of machine learning and data science from institutions such as Coursera and Udemy.