IMANE Meskine

• Data Mart Development: Led the integration and modeling of data to build effective data marts, enhancing data accessibility and analysis.
• Dashboard Design & Implementation: Designed and implemented dashboards that provided key insights, supporting strategic business decisions.
• Custom Data Extracts: Developed and delivered on-demand data extracts, ensuring timely and accurate information for various business needs.
• Dashboard & ETL Maintenance: Monitored and maintained dashboards and ETL processes to ensure consistent performance and data accuracy.
• Testing Support: Provided comprehensive support during functional and technical testing to ensure seamless implementation of BI solutions.

Environment & Tools:

• SAP DataServices: For data mart development and ETL processes.
• SAP Business Object: For dashboard design and reporting.
• Tableau (Desktop, Data Prep, Server): For interactive dashboards and ETL maintenance.
• PL/SQL: For custom data extracts and complex queries.

Analysis of Traffic Accident Data in Morocco Using Machine Learning Techniques

• Problem Understanding: Defined the scope and objectives of the analysis.
• Data Gathering & Exploration: Collected, explored, and understood traffic accident data.
• Data Cleaning & ML Algorithm Preselecting: Cleaned and processed data, selected appropriate machine learning algorithms.
• Model Training & Evaluation: Trained, tested, and evaluated algorithms to identify the best model.
• Results Analysis & Communication: Analyzed findings and communicated results effectively.

Environment & Tools:

• R & RStudio: Handled missing values, visualized data, and performed clustering to profile two-wheeler drivers.
• Python & Jupyter Notebooks: Built classification models using scikit-learn to detect factors affecting accident severity in urban and rural areas.