Oussama Jaouadi

Built and implemented a monitoring and analytics platform that helped engineers track infrastructure performance, investigate anomalies, and access forecasting and root cause insights in real time, contributing to a 40% reduction in MTTR. • Designed and developed backend and data workflows for KPI tracking, anomaly monitoring, and operational investigation. • Built data ingestion and processing pipelines using Elasticsearch and MongoDB. • Developed forecasting and anomaly detection workflows to support proactive monitoring and faster issue identification. • Contributed to root cause analysis features that helped identify likely drivers of performance issues. • Developed dashboards and mobile application modules for data visualization and operational monitoring. • Contributed to an AI assistant that enabled users to query data and investigate incidents more efficiently.

Contributed to the development of a lead management and analytics platform focused on business visibility, predictive insights, and operational workflows. • Developed backend features and APIs for user management, authentication, lead tracking, and business workflows. • Built analytics and dashboard features to visualize KPIs, trends, and forecasting outputs for business users. • Implemented advanced filtering, search, and data export features to improve lead monitoring and reporting. • Integrated predictive analytics features and contributed to data preparation and model-driven business insight workflows. • Contributed to a Flutter mobile application for lead generation and field data capture. • Deployed containerized application components on Google Cloud Platform using Docker and Kubernetes.

Contributed to the development of a web and mobile application aimed at strengthening the company’s digital presence and user engagement. • Built cross-platform mobile features using Flutter and contributed to web and mobile application delivery. • Developed PHP backend services and REST APIs to support frontend functionality and data exchange. • Integrated Firebase for real-time push notifications and user communication. • Improved application responsiveness and frontend performance, helping reduce page load time by around 30%.

• Automated a process for data collection using Python, Regex and a REST API. • Created a Dashboard, to visualize the data using Angular 13 and Chart.js for the frontend, and MySQL for the database.

Developed a React Native application.