Cedric Lontsi

• Developed machine learning–based segmentation models for network coverage sites to support technical planning and business strategy optimization • Built customer segmentation models based on usage and consumption behavior to drive targeted Customer Base Management (CBM) actions • Designed and deployed churn prediction models to anticipate customer attrition and support retention campaigns. • Led business performance reporting initiatives to improve decision-making across marketing, network and management teams. • Coordinated the design, update and maintenance of customer data marts to ensure data consistency and availability for analytics use cases. • Built interactive Power BI dashboards providing a consolidated and actionable view of key business KPIs.

• Designed and deployed an AI-based passenger counting system to reduce fraud and improve operational monitoring in public transport. • Built an automated data quality analysis platform using machine learning techniques to detect anomalies and inconsistencies. • Provided maintenance and continuous improvement of deployed AI systems.

• Applied ETL techniques with Python to aggregate agricultural, climate, and yield data • Built a machine learning model to predict crop yields and support agricultural planning • Contributed to academic research and scientific publications related to data-driven agriculture

• Created dashboards and analytical reports to monitor audience behavior • Developed an AI-based autocorrection module that improved data quality by 80% and reduced preprocessing time