Mohamed Aziz Cherif
Data Scientist @Airbus
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WORK HISTORY
Data Scientist @Airbus
Developed and maintained 15+ data pipelines and automated reports using Python, PySpark, SQL, and Skywise to support workload planning and digital transformation initiatives.• Replaced 15+ Excel-based evaluations and macros with modern, data-driven solutions integrated into Skywise and Google AppSheet, enhancing reporting efficiency and reliability.• Collaborated with 5+ cross-functional teams to define new KPIs and reporting requirements, build self-service dashboards, and deliver actionable insights for process optimization.• Identified and implemented 10+ digitalization use cases within the Doors Operations Department, leveraging Looker Studio and AWS for data analysis and visualization.
EDUCATION
Hochschule Schmalkalden
Engineer's degree
Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT
Master's degree
ABOUT MOHAMED AZIZ CHERIF
Passionate about Data Science Engineering, I am enthusiastic about contributing to innovative projects and advancing my expertise in data analysis, machine learning, and software engineering. I thrive on embracing challenges and devising efficient solutions in practical settings.With a solid academic foundation in data science, acquired from ESPRIT in Tunis and further enhanced by an exchange program at Schmalkalden University of Applied Sciences in Germany, I have developed strong analytical and programming skills. My proficiency in Python, Java, and C++ allows me to tackle complex problems and implement effective solutions. I have hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, which I have applied in various projects involving predictive modeling and deep learning.I have a keen interest in artificial intelligence, computer vision, and robotics, which has led me to work on projects that involve developing intelligent algorithms for object recognition and pose estimation. My experience also extends to data engineering and cloud computing, where I have utilized tools like AWS and Microsoft Azure to manage and analyze large datasets.Key Skills:Data AnalysisMachine LearningDeep LearningSoftware EngineeringArtificial IntelligenceComputer VisionRoboticsPythonJavaC++TensorFlowPyTorchscikit-learnSQLData EngineeringCloud Computing (AWS, Azure)Object-Oriented ProgrammingData Visualization (Tableau, Power BI)Statistical AnalysisPredictive ModelingThroughout my academic and professional journey, I have demonstrated a strong ability to work both independently and collaboratively in team environments. My problem-solving skills and attention to detail have consistently enabled me to deliver high-quality results. Additionally, I am fluent in English and have a basic understanding of German, which enhances my ability to communicate and collaborate in diverse, international teams.I am eager to continue expanding my knowledge and skills in data science and AI, and I am always on the lookout for opportunities to contribute to impactful projects. If you are looking for a dedicated and skilled data science engineer to join your team, please feel free to connect with me.
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