Elodie Azria
About Elodie Azria
Elodie Azria is a data scientist with extensive experience in various roles, including positions at Outbrain and Melio. She holds multiple degrees in mathematics and actuarial sciences from prestigious institutions in France.
Work at Melio Payments
Elodie Azria has been employed as a Data Scientist at Melio since 2021. She operates in the Tel Aviv area, contributing her expertise in data analysis and interpretation to support the company's financial technology solutions. Her role involves leveraging data to enhance decision-making processes and improve user experiences.
Previous Experience in Data Science
Prior to her current position, Elodie Azria worked as a Data Scientist at 888holdings from 2020 to 2021, where she applied her analytical skills in a gaming environment. She also served as a Data Scientist at Outbrain from 2018 to 2020, focusing on online content recommendation systems. Additionally, she completed a short-term project as a Data Scientist at Konnecto in 2018.
Actuarial Experience
Elodie has a background in actuarial science, having worked as an Actuary at Groupama for six months in 2015 and at Menora Mivtachim Insurance LTD for five months in 2016. Her education in this field includes a Master’s degree in Actuarial Science from Université Paris Dauphine, which she completed in 2014.
Educational Background
Elodie Azria holds multiple degrees from Université Paris Dauphine, including a Bachelor's degree in Mathematics (2010-2013) and a Master's degree in Actuarial Science (2013-2014). She also studied at the Israel Tech Challenge, completing a program in Data Analysis and Deep Learning in 2018. Additionally, she achieved the Actuaire designation from Institut des actuaires in 2015.
Mathematics Tutoring Experience
Before her career in data science and actuarial roles, Elodie worked as a Mathematics Tutor from 2010 to 2014 in the Région de Paris, France. This experience allowed her to develop strong communication skills and a passion for teaching complex concepts in a simplified manner.