Adam Hajjej
About Adam Hajjej
Adam Hajjej is a Competency Lead in Product Data Analytics & Automation at MediaMarktSaturn, specializing in machine learning models and data integration using Google Cloud Platform. He has a diverse background in data analytics and consulting, having worked with several organizations in France and currently based in Munich, Germany.
Work at MediaMarktSaturn
Adam Hajjej serves as the Competency Lead for Product Data Analytics & Automation at MediaMarktSaturn since 2021. In this role, he focuses on the integration of data through Google Cloud Platform (GCP) services, facilitating both real-time and batch processing pipelines. His responsibilities include enhancing customer and stakeholder relationships, as well as monitoring team workload and organizational efficiency. Adam is also involved in the recruitment process, contributing to candidate pre-selection and supporting hiring decisions.
Education and Expertise
Adam Hajjej has a solid educational background in computer science and related fields. He studied at Lycée Louis Lachenal from 2009 to 2012, completing a preparatory program in PTSI. He then attended l'INSA Centre Val de Loire from 2012 to 2015, where he earned a diplôme d'ingénieurs in computer science and related information services. His expertise includes developing machine learning models with a focus on natural language processing (NLP) and image processing.
Background
Adam Hajjej has accumulated diverse professional experience across several companies. He began his career as a Smart Grid field data trainee at SAGEMCOM in 2015. He then worked as an IS-IT Business Analyst Consultant at Nissan Motor Corporation from 2016 to 2017. Following this, he held various roles, including Business Intelligence Consultant at Groupe Crédit Agricole and Data Management and Integration Engineer Consultant at TheFork, a TripAdvisor company. Most recently, he served as a Tech Lead Salesforce data engineer consultant at Edenred from 2019 to 2021.
Achievements
Adam Hajjej has made significant contributions in his roles, particularly in the areas of data analytics and integration. He specializes in machine learning and has developed models that enhance data processing capabilities within organizations. His work in recruitment and team management has also improved organizational efficiency and team dynamics. These contributions reflect his commitment to leveraging technology for better business outcomes.