Hannah Danan Moise has a diverse work experience that includes roles in data science, data analysis, and project management.
In 2018, they worked as a Data Scientist at Windward, a maritime big data and analytics company. Prior to that, they had a short-term project at Outbrain as a Data Science intern.
In 2017, Hannah started as a Data Analyst intern at Windward and eventually got hired for a long-term contract. Hannah played a crucial role in bridging the gap between data science and sales, adapting algorithms to sales efforts, deploying new data capabilities, and discovering insights from the AIS data.
Before their role at Windward, they interned as a Data Analyst at SaferVPN in 2016, where they gained experience in analyzing data.
In 2014, Hannah served as the President of ESSEC Israel, where they organized a cultural trip, promoted Israeli and oriental cultures through events, and held conferences with Israeli entrepreneurs. Hannah also worked as an Audit Intern at Deloitte in the Financial Services Industry, performing analytical reviews and reviewing client accounting procedures.
Additionally, they had part-time consulting roles at Hopital René Dubos and Prépa Commercia, and worked as a packaging employee at La maison du chocolat in 2012.
Hannah's work experience showcases their abilities in data science, data analysis, project management, cultural promotion, and auditing.
Hannah Danan Moise's education history is as follows:
In 2007 to 2010, they attended Lycée Jean Baptiste Say, where they obtained their Baccalauréat S with a mention Très Bien, focusing on Mathematics.
From 2010 to 2012, they attended Lycée Carnot, specializing in Classe préparatoire ECS.
In 2012 to 2013, Hannah attended Prépa Commercia and pursued Classe préparatoire ECS, studying Mathematics, Geopolitics, Philosophy, German, and English.
From 2013 to 2017, they studied at ESSEC Business School, completing an MSc in Management "Programme Grande Ecole" with a specialization in Data Analytics & Digital Disruption.
Finally, in 2018, Hannah joined Israel Tech Challenge <itc> as a Data Science Fellow in the Deep Learning and Computer Vision track.
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