Souhail M'HID

– Project management using Agile Scrum methodology, including the drafting of business cases and functional specifications. – Development of Grafana dashboards for multiple departments (Aseptic & Finished Production, Business Support, Maintenance, and Reliability). – Design of ML/DL algorithms: vial volume optimization, machine failure prediction, vial counting and defect detection. – Collection, cleaning, processing, and storage of multi data sources (SAP, PASX/MES, SCADA, PLCs). – Digitalization of processes and automation of repetitive tasks. – Facilitation of creativity workshops.

– Implementation of Machine Learning models: detection and prevention of anomalies in the LIMS database. – Supervision and maintenance: continuous management of existing ML models. – Processing textual data: use of Natural Language Processing (NLP) techniques. – Data migration and verification of deviations between local databases and the DataLake. – Development of graphical interfaces using R-Shiny. – Automation of reports: automated generation of reports in PDF format. – Project management using Scrum

– Development of predictive models to assess credit risk using Random Forest and Gradient Boosting. – Customer behavior studies for the marketing department, including customer segmentation. – Implementation of predictive models to anticipate the cancellation of mortgage credit insurances. – Analysis of information from texts written in natural language. – Data preprocessing with PySpark. – Application of AutoML on Databricks to automate the process of model creation and selection. – Data visualization with Power BI.

– Creation of annotated datasets, essential for training models, ensuring better performance. – Development of Deep Learning models, particularly YOLO and MobileNetSSD, for object detection in computer vision. – Optimization of hyperparameters and use of data augmentation techniques to improve model accuracy. – Implementation of performance evaluation methods, ensuring a reliable measure of model effectiveness. – Writing up processes and results documentation to facilitate collaboration and reproduction of work.

– Improve comfort, safety and energy management – Design of a GUI to remotely monitor and control the various sensors and actuators

– Design of a vertical parking prototype, which reduces the area occupied by the large number of cars and emissions of air pollutants such as nitrogen oxides (No x), carbon monoxide (CO), and carbon dioxide (CO 2), by using an embedded system that allows autonomous management of this parking.