Ilana Danan
About Ilana Danan
Ilana Danan is a data scientist with extensive experience in the field, currently working at Entain in London since 2019. She has previously held positions at Glass and Check Point Software Technologies, and completed her education at Sorbonne University, earning both a Bachelor of Science and a Master of Science in Electronics and Computer Science, respectively.
Current Role at Entain
Ilana Danan has been employed as a Data Scientist at Entain since 2019. In this role, she applies her expertise in data analysis and modeling to support the company's operations and decision-making processes. Her work contributes to the development of data-driven strategies that enhance the company's performance in the competitive gaming and betting industry.
Previous Experience at Glass
Before joining Entain, Ilana worked as a Data Scientist at Glass from 2018 to 2019. During her year in London, she focused on leveraging data to provide insights that informed business strategies. Her experience at Glass helped her to refine her analytical skills and gain valuable industry knowledge.
Background in Data Science Training
Ilana participated in the Data Science Fellows Program at Israel Tech Challenge from 2016 to 2017. This program provided her with foundational skills in data science, which she utilized in her subsequent roles. The experience enhanced her understanding of data analytics and machine learning applications.
Internship at Check Point Software Technologies
In 2017, Ilana completed a Data Scientist Internship at Check Point Software Technologies, Ltd. for four months. This internship allowed her to gain practical experience in data analysis and software development, further solidifying her career path in data science.
Education and Academic Qualifications
Ilana Danan holds a Bachelor of Science in Electronics from Sorbonne University, which she completed from 2011 to 2014. She furthered her education with a Master of Science in Computer Science at the same institution, graduating in 2016. Her academic background provides a strong foundation for her work in data science.