Nizar CHEHAIBOU

Engineer specialized in Data Science and AI at Orange Arceuil

Worked in a specialized team analyzing marketing campaigns using machine learning algorithms to predict and reduce customer churn, enhancing retention strategies. Conducted general analysis to identify key insights and optimize campaign performance. Developed dashboards for data visualization to facilitate monitoring and decision-making. Managed project execution and coordination within cross-functional teams ensuring timely delivery of objectives. Collaborated with teams to develop predictive models supporting data-driven decision processes. Led development of a proof of concept for Mautic marketing automation software, demonstrating project management and innovative solution delivery.

Engineer specialized in Data Science and AI (Work-Study Program) at Orange

As part of a work-study program at Orange France in Arceuil from September 2022 to August 2025, I am part of a specialized team focused on analyzing marketing campaigns. I applied machine learning algorithms to predict and reduce customer churn, enhancing customer retention strategies. I conducted general analysis of marketing campaigns to identify key insights and optimize performance. I developed dashboards for data visualization to facilitate campaign monitoring and decision-making. I also managed project execution and coordination within a cross-functional team, ensuring timely delivery of objectives. Furthermore, I collaborated with various teams to develop predictive models supporting data-driven decision processes and led the development of a proof of concept (POC) for Mautic marketing automation software, demonstrating project management and innovative solution delivery.

Data Science & AI Engineer at Orange France

Designed and deployed predictive models (regression, classification, Random Forest, XGBoost) achieving a 12% churn reduction. Conducted large-scale marketing data analysis to extract actionable insights and optimize customer retention campaigns. Built real-time dashboards (Python, SQL, Power BI, GCP) for KPI monitoring. Implemented customer segmentation (K-means, RFM scoring) to enhance personalized marketing strategies. Led a PoC for marketing automation with Mautic integrated with predictive models. Collaborated with cross-functional teams (Data Engineering, IT, Marketing) using Agile/Scrum. Key Projects included churn model on 3M+ clients, automated ETL pipeline on GCP & Spark, client scoring API, and an interactive dashboard adopted by 50+ marketing analysts.