À propos de Abdalrahman
Experienced ML engineer with 7+ years of experience using Python, AWS, Azure, CI/CD, Kubernetes, Airflow and MLflow to design, develop, and deploy Data and ML models. Strong background in software engineering, deep understanding of ML concepts, and proven track record of delivering high-quality, reliable and scalable solutions in Energy, Retail, Social Media, Public Transport, and Cloud Computing. Passionate about staying current and continuously improving processes to increase efficiency, delivering innovative ML solutions that positively impact the business.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Lyon (jusqu’à 50 km)
Expériences
- KonecranesML EngineerINGÉNIERIE MÉCANIQUEaoût 2022 - Aujourd'hui (3 ans et 9 mois)Lyon, France● Design and implement automated Data/ML architecture● Set standards for developing data/ML products and guiding other team members to apply them● Building scalable and reliable data pipelines● Building efficient methods of data preparation● Productionize new Machine Learning/Deep Learning models
- PVH Corp.Machine Learning EngineerMODE & COSMÉTIQUESoctobre 2021 - février 2022 (5 mois)Amsterdam, Netherlands● Mine the data from internal and external sources● Design and implement automated Data/Machine Learningarchitecture● Set standards for developing data/ML products and guiding otherteam members to apply them● Building scalable and reliable data pipelines● Building efficient methods of data preparation● Productionize new Machine Learning/Deep Learning models● Migrating on-premise projects to AWS Cloud servicesPython, AWS EMR, SAP HANA, Airflow, Mlflow, GitLab (CI/CD), Terraform, Docker, AWS
- Enedis (ex ERDF)Machine Learning EngineerENERGIEmars 2017 - février 2021 (3 ans et 11 mois)Lyon, FranceWork within the Innovative Analytics team for the mission of enhancing the data of electrical grid (Linky meters, Linky concentrators, IoT sensors) for the various Enedis businesses (in particular of network operation and maintenance) The team includes profiles of data scientists, data engineer, front developer, DevOps, functional analyst and business expert Responsibilities:● Build and productionize Data Science and ML solutions to provide actionable intelligence to solve various business problems and support business decision making within energy distribution (Prediction, Classification, Classtaring, Anomaly Detection, Image recognition, NLP) Work closely with other team members on delivering projects● Support and guide data scientists, developers, and data engineers on best practices in programming through all stages of project development● Ensure an exemplary data flow between data resources, databases, back-end and front-end systems● Work with the DevOps team to set up CI/CD pipelines to improve and automate data processing and models deployment● Identify opportunities to innovate and take the initiative to influence the shape of the future platform, and help drive its long-term evolution● Comfortably switching between being a data scientist, data engineer and front-end developer● Work with the DevOps and Data Engineer teams to build back-end solutions focused on large-scale data processing.
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Formations
- Master's Degree, Data Mining & Knowledge Discovery in DatabasesPolytech Nantes & Université Lumière Lyon 22015Master's Degree, Data Mining & Knowledge Discovery in Databases
- Bachelor of Science in Computer Scienceal-neelain university2008Bachelor's Degree, Computer Science