During this project, I developed a network anomaly detection system using artificial intelligence and machine learning techniques. The work involved collecting and analyzing network data (logs and traffic), testing different AI models with tools like Scikit-learn and PyCaret, and evaluating their ability to detect unusual network behaviors. This project strengthened my skills in data analysis, machine learning, and cybersecurity.
During this internship, I worked on designing and implementing a Layer 3 VPN (L3VPN) solution over an MPLS network to ensure secure and efficient transport of IP services between different sites. The project involved studying key networking technologies such as MPLS VPN, MP-BGP, and VRF, and applying them to create a scalable and isolated multi-site communication architecture. This experience enhanced my skills in advanced routing, network configuration, and service provider technologies.
-Implementation of the local network
-Installation and configuration (routers, switches)
-Maintenance of the existing network
Problem-solving
Teamwork and collaboration
Time management
Flexible and adaptable
Excellent communication
Organization and time management
I have a strong background in computer networks and cybersecurity, with hands-on experience through internships and projects. I hold certifications in CCNA and Fortinet FortiGate Administrator 7.6, which have strengthened my skills in network configuration, routing and switching, and firewall management. Additionally, I have worked on network anomaly detection projects using AI and machine learning, giving me experience in both practical network management and emerging cybersecurity technologies.
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