SOUHAIL FENNIRI
About Candidate
Passionate Data Science Engineer with a strong background in Machine Learning, Big Data, and AI. Experienced in designing and deploying predictive models for real-world applications, particularly in industrial environments. Skilled in data preprocessing, feature engineering, and building scalable analytical systems. Proficient in Python, SQL, and data visualization tools such as Power BI.
Dedicated to transforming complex data into actionable insights that drive performance and innovation.
Education
Completed a five-year engineering program specializing in Big Data and Artificial Intelligence. Developed strong expertise in data analysis, machine learning, data engineering, and software development. Worked on several academic and industrial projects, including predictive maintenance using vibration analysis and AI-based anomaly detection systems.
Completed a two-year technical degree in Computer Science with a focus on systems and network administration. Acquired solid foundations in system architecture, network management, database design, scripting, and IT infrastructure. Conducted practical projects on automation, network security, and system deployment.
Work & Experience
Developed a vibration anomaly detection system using Machine Learning for predictive maintenance of industrial equipment. Designed and implemented a local diagnostic interface to assist maintenance technicians. Contributed to data preprocessing, feature extraction, model training, and validation within the Data Science & Vibration Analysis department.
Collaborated with IT and Provisioning teams to design and develop an optimized provisioning system. Conducted process analysis, participated in system implementation, and improved stock and resource management efficiency through data-driven insights.
Worked within the Human Resources department to manage employee files and support administrative processes. Contributed to process automation initiatives that streamlined HR operations and improved organizational efficiency.
