Ivan De Berardinis
About Ivan De Berardinis
Ivan De Berardinis is a Data Scientist with experience in developing software solutions and data-driven models. He currently works at Legal & General, focusing on Group Protection products and has previously held positions at 15 Gifts and Image Analysis Inc.
Work at Legal & General
Currently, Ivan De Berardinis works as a Data Scientist at Legal & General, a role he has held since 2020. He is based in Hove, England, United Kingdom. In this position, he specializes in developing data-driven solutions specifically for Group Protection products. His work involves creating pricing models, lapse rate modeling, and conducting morbidity and mortality studies. Ivan integrates these models into the workbench, making them accessible for underwriters and other users within the organization.
Previous Experience at 15 Gifts
Before joining Legal & General, Ivan De Berardinis worked at 15 Gifts as a Data Scientist from 2017 to 2020. He was part of the Advanced Analytics Team, where he focused on creating technologically advanced tools aimed at process improvement. Additionally, he served as a Client Data Scientist for a brief period in 2019, where he contributed to data science projects for approximately seven months.
Research Engineer Role at Image Analysis Inc
Ivan De Berardinis served as a Research Engineer at Image Analysis Inc from 2015 to 2017 in London, United Kingdom. In this role, he engaged in active research to explore new data sources and technologies, enhancing data-driven solutions. His responsibilities included conducting A/B testing for experimental models, which provided valuable business insights.
Education and Expertise
Ivan De Berardinis holds a Master’s Degree in Physics from Sapienza Università di Roma, where he studied from 2012 to 2015. Prior to that, he earned a Bachelor's degree in Physics from Università degli Studi dell'Aquila, studying from 2007 to 2012. His educational background also includes five years at a Scientific High School, from 2001 to 2006. This academic foundation supports his expertise in data science, particularly in software development using R and Python.