- Developed a monitoring dashboard using Elasticsearch and Kibana to visualize and track the execution of jobs from the FCR calculation engine. - Built a predictive solution using multiple machine learning algorithms (Linear Regression, Random Forest, KNN, XGBoost, MLP) to estimate pipeline execution times. - Designed and integrated a full web interface (HTML, CSS, JavaScript, PHP) that hosts both the dashboard and the prediction model, allowing users to interact with and monitor the system in one unified platform.