BONO mbelle Aurelien

analyze geospatial data to predict a phenomenon development of decisional prediction algorithms in geospatial application fields design, develop and deploy value-added applications and solutions based on the results of the analyzed data Build predictive models using various machine learning tools to predict the possibility of equipment failure. Demonstrate knowledge and execution of application programming interface development and test automation Design algorithms to track and detect anomalies in multiple sensors data for the industry

Collect, process and study statistical data to produce business analyzes and recommendations, Build and develop reports from Business Intelligence (BI) & Web Analytics to allow the different teams to have a coherent view of the results of product activity and their proper technical functioning, Manage analysis tools allowing internal decision-makers and customers to monitor the evolution of their sites and products,

Turned data into actionable insights, providing C-suite stakeholders with insightful recommendations to streamline business operations and improve customer experience. Generated statistical reports and visualizations, providing key insights for more than 20 marketing campaigns and initiatives, including A/B testing, customer retention, brand awareness, and global expansion. Worked with senior leadership to develop and implement digital marketing strategy, identifying and implementing new tactics to improve campaign performance by 50%, resulting in 250% increase in revenue from search marketing campaigns