moemen ebdelli

Moemen Ebdelli has four years of work experience. In 2021, they began working as a Working Student - Data Engineering at RAYLYTIC. In this role, they worked in a 5+ member team to build ETL jobs in Apache Airflow to extract, process, and analyze FHIR data, automate medical questionnaires exporting to different registries, and model data with MariaDB. moemen also used Apache Superset to create dashboards. In 2021, they also began working as a Working-Student Data Science / Python Development at Universitätsmedizin Greifswald. In 2019, they joined Team SUP'COM as a Membre. In 2018, they began working at Our Network, where they served as Responsable du comité sponsoring and Trésorier.

Moemen Ebdelli is currently pursuing a Nanodegree Program in Data Engineering at Udacity, which they began in 2022. Prior to that, they obtained a Master's degree in Computer from Universität Passau (2020-2022) and an ingeneering degree in INDP1 from SUP'COM (2018-2021). moemen has also obtained several certifications, including Data Engineer for AI Applications from Udacity (December 2022), Introduction to MongoDB in Python from DataCamp (October 2020), Data Scientist with Python from DataCamp (May 2020), Neural Networks and Deep Learning from Coursera (March 2020), and Blockchain: Foundations and Use Cases from Coursera (December 2018).