varad sawant

I’m a recent Computer Science graduate specialized in Artificial Intelligence and Machine Learning, with a practical focus on data analysis, cybersecurity, and system operations. I build and deploy machine learning models, turning security signals into actionable incident-response workflows.

At Capgemini India, I’m working as a Japanese bilingual analyst, supporting a short-term project for a large Japanese company in Cloud Infrastructure Services. I handle project management tasks and process documentation, and I work with IT Service Requests, incident tickets, and change requests alongside on-the-job training in L2 level infrastructure support.

Previously, as a System Engineer Intern at LSI R&D Labs in Japan, I developed an NFC-based Attendance System using Python and C and created detailed technical documentation and flowcharts for design and troubleshooting. I also completed a Virtual Internship - Cybersecurity Entry-Level Technician with Palo Alto Networks (via Eduskills), gaining hands-on insights into network security, threat prevention, and incident response.

My final year project, “AI System for Incident Response,” integrates log collection, traffic classification, static malware analysis, and email classification, then centralizes monitoring in a dashboard. I’ve also published survey and stress-related work and I’m actively seeking roles in data science, cybersecurity, or infrastructure—where I can contribute with Python, SQL, and security-focused automation while continuing to learn fast.