Emna Amor
About Emna Amor
Emna Amor is a Data Scientist based in Berlin, Germany, with a background in machine learning and data engineering. She has worked for several companies, including Daimler AG, Statice, and KODAKOne, and has a degree in Informatique from Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT.
Current Role at Vay
Emna Amor has been working as a Data Scientist at Vay since 2022. In this role, she applies her knowledge and skills in data science to contribute to various projects. Her focus includes utilizing advanced technologies and methodologies to enhance data-driven decision-making processes within the organization.
Previous Experience in Data Science
Prior to her current position, Emna Amor held several roles in data science and machine learning. She worked as a Senior Machine Learning Engineer at Statice from 2021 to 2022, following her tenure as a Machine Learning Engineer at the same company from 2020 to 2021. Additionally, she served as a Lead Data Science Engineer at KODAKOne from 2018 to 2019, and as a Machine Learning Engineer at Daimler AG from 2019 to 2020.
Education and Qualifications
Emna Amor studied at Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT, where she earned a Diplôme d'ingénieur in Informatique from 2012 to 2017. She also completed a Deep Learning Nanodegree Program at Udacity from 2019 to 2020, further enhancing her expertise in machine learning and data science.
Technical Expertise
Emna Amor possesses expertise in working with sequential data, including videos and unstructured documents. She enjoys being involved in the entire solution process, from data architecture to building production-ready pipelines. Her experience encompasses the utilization of the latest technologies in her work as a machine learning engineer.
Internship Experience
In 2016, Emna Amor completed a one-month internship at BIAT. This experience contributed to her foundational knowledge and skills in the field of engineering, complementing her academic background.