NARSA client :- Performed data migration from the old vehicle registration system to a new database using Talend.ANCFCC/Mounazaa client :- Contributed to the enhancement of organizational decision-making by effectively visualizing litigation service statistics using Power BI, facilitating data-driven insights and strategic planningRadeej client :- Designed and modeled Business Intelligence (BI) architecture to optimize data processing and analysis workflows.- Developed SSIS ETL (SQL Server Integration Services) processes, streamlining data extraction, transformation, and loading for improved data accuracy and efficiency.- Adapted BI schema seamlessly with SAP UDT, ensuring data integration and compatibility with SAP systems.- Created interactive SAP Web Intelligence (Webi) reports, providing Radeej Client with actionable insights and real-time data visualization.- Conducted rigorous testing and validation procedures to guarantee the accuracy and reliability of BI solutions, ensuring data quality and compliance with industry standards.

Problematic : Develop machine learning models for detectionAttack on the CAN bus.Missions:- Data cleaning.- Model preprocessing and training.- Data visualization.The work carried out is made possible to identify two machine learning models that have reached an accuracy of 99.99% in the detection of CAN bus attacks.Technique : Machine Learning, Deep Learning/ Language : Python / Frameworks : Pandas, Matplotilb, Numpy, Sklearn, Torch/ Models : MLP, RMB, DBN.