@saiprathyushaillendu
Cybersecurity analyst at Excelerate who developed an explainable AI intrusion detection system for network threats.
United StatesAt Excelerate, I monitored security alerts, reviewed Suricata alerts and OSSEC logs, and investigated incidents using Splunk SIEM. I also assisted with vulnerability assessments and remediation using Nessus and Nmap.
For my Master's project, I developed a real-time intrusion detection system using Random Forest and Explainable AI to classify network activity and make detection results interpretable. I used LIME to examine prediction factors and displayed probability scores and risk levels.
Work history, roles, and key accomplishments
Excelerate
Nov 2025 - Jan 2026 (2 months)
Monitored security alerts and performed initial triage using cyber kill chain and MITRE ATT&CK. Reviewed Suricata alerts and OSSEC logs, configured firewall rules, and investigated incidents through Splunk SIEM.
Hexaware Technologies
Jul 2021 - Apr 2023 (1 year 9 months)
Tested application features and checked for security-related issues, including login access, user permissions, and input validation. Reviewed application logs and suspicious emails for phishing signs, and reduced false-positive alerts by 25% through correlation-rule tuning.
Degrees, certifications, and relevant coursework
Master's Degree, Cybersecurity
2024 -
Grade: 3.9/4.0
Pursuing a Master's degree in Cybersecurity with a GPA of 3.9/4.0, expected to graduate in May 2026.
B.Tech, Computer Science
2017 - 2021
Completed a Bachelor of Technology in Computer Science from 2017 to 2021.
Microsoft Certified: Security Operations Analyst Associate (SC-200), Cybersecurity
Certified as Microsoft Certified: Security Operations Analyst Associate (SC-200).
CompTIA Security+ (SY0-701), Cybersecurity
Certified as CompTIA Security+ (SY0-701).
Software and tools used professionally
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