Mohamed Bouabidi

▪ Designed ML models to automate data extraction from emails, enhancing client service efficiency by 25%. ▪ Tailored custom solutions leveraging text mining techniques to meet diverse client needs of optimized workflows. ▪ Implemented scalable microservices architecture using Python/Flask for precise email categorization, boosting operational effectiveness by reducing manual efforts by 40%.

▪ Conducted an extensive root cause analysis to optimize gold process recovery, yielding a remarkable 2-point increase in efficiency. ▪ Leveraged data analytics for diagnostic purposes, providing insights that enhanced operational effectiveness and improved output quality in Cobalt metal processing. ▪ Led the development of a cutting-edge Machine Learning-based geo-metallurgical predictive model tailored for a newly discovered deposit, aiding the mine planning team in strategic decision-making and resource allocation.

•Implementing and Standardizing Project Key Performance indicators (KPIs) for Project Control. •Designing and setting up a reporting system (Dashboards) to support management informed-decision making. •Ensuring data quality by evaluating and auditing project controls and project performance. ✓ Tools: •SAP •Power BI • Power Automate • Excel • SharePoint

▪ Collecting and preparing the dataset (Images). ▪ Designing and developing a machine learning model for estimating the ripeness stage of greenhouse fruits using computer vision techniques. ▪ Deploying the model on a Desktop and Mobile applications. ✓ Tools: • TensorFlow/Keras • OpenCV • NumPy • Pandas • Scikit-Learn ✓ Keywords : • Computer vision • Deep Learning • Image Processing • Object detection

• Analyzing existing system. • Optimizing warehouse management. • Proposing and implementing of IT tools for the management of information flows and physical flows.