Farhane Assoumani

• Development and automation of Power BI reports to track cost savings in real-time and support top management decision-making at the group level.

• Implementation of internal benchmarks on SAP Web Intelligence and creation of dynamic dashboards to optimize the comparative monitoring of stocks and OPEX of different subsidiaries.

• Advanced use of BI tools (Webi, Power BI) to meet complex analysis, visualization, and key performance indicator reporting needs.

• Use of machine learning techniques (NLP) on Python to automatically extract strategic information from the group's textual and historical innovation archives.

• Transverse coordination between departments (IT, Management Control, Operations) to ensure data quality and the relevance of BI deliverables in SAP and visualization solutions.

• Development and deployment of models for forecasting customer relationship channel activity flows (phone, email, mail) using advanced algorithms (GAM, Random Forest, Gradient Boosting) in R.

• Analysis of key explanatory variables and presentation of insights to business units for resource optimization and operational efficiency improvement.

• In-depth study of customer usage and behavior in conjunction with marketing teams, with a focus on optimizing customer experience and reducing churn.

• Automation of monthly and weekly reporting on customer relationship channel performance and KPIs, reducing production cycles by 60% and improving data reliability.

• Automated processes via VBA, followed by progressive migration of reporting to BI platforms (Tableau, Power BI), ensuring interactive data exploitation and multi-channel distribution.