Viswanatha Reddy

Product Support Analyst | Cyber Security @ Epsilon

About

As a Machine Learning Security Engineer with over three years of experience in cybersecurity, AI/ML, and cloud security, I specialize in building AI-driven intrusion detection and malware prevention systems. At Gisma University, I developed a GAN- and federated learning-based IDS with blockchain-backed data integrity, improving detection accuracy by 35% and reducing response time by 28%. Previously at Royal Holloway, University of London, I designed a hybrid malware detection framework combining AES encryption, FIS, SVM, PSO, and ResNet—achieving 35% higher accuracy, 25% fewer false positives, and 40% fewer unauthorized access incidents. I also bring SOC operations experience from Epsilon and Mavenir, where I handled 100+ weekly security alerts, automated IOC sweeps, enforced ISO 27001 & GDPR compliance, and optimized firewall/VPN rules—reducing audit gaps by 30% and risk exposure by 20%. With hands-on expertise in Python, FastAPI, AWS Security Hub, Splunk, SentinelOne, MITRE ATT&CK, SIEM/EDR, IDS/IPS, and security automation, I focus on delivering scalable, intelligent, and compliance-ready security solutions for cloud and enterprise environments. Holding a German Residence Visa, I am available to start immediately in Germany.

Country

Germany

City

Berlin

Industry

Computer & Network Security

Skill

Splunk, MITRE ATT&CK Framework, SIEM, Team Leadership, Network Installation, TCP/IP, DNS, DHCP, SSH, VPN Security, Network Security & Traffic Monitoring, ISO 27001 & Governance, Risk & Compliance (GRC), Firewall Management, Security Operations, Vulnerability Assessment, Customer Service, Network Traffic Analysis, Artificial Intelligence (AI), Linux Security, Internet Protocol Suite (TCP/IP), Security Incident Response, SQL, OSI Model, ServiceNow

Experience

Product Support Analyst | Cyber Security

Epsilon

2021-9 - 2022-4 · 8 mos

Bengaluru, Karnataka, India

Project: SOC Security Monitoring and Incident Response – 24/7 SOC for a global cloud services provider, monitoring infrastructure and responding to real-time incidents. Triaged over 100 security alerts weekly using SentinelOne EDR and Splunk SIEM, improving incident triage eﬃciency by 30%. Applied MITRE ATT&CK for adversary classification, reducing false positives by 40% and improving detection accuracy. Automated IOC sweeps with Python scripts, cutting analyst effort by 25%. Provided Level 1 and Level 2 IT support, resolving technical issues efficiently. Implemented ISO 27001 and GDPR-aligned policy enforcement, reducing audit gaps by 30%

Network Support Analyst

Mavenir

2021-6 - 2021-8 · 3 mos

Project: Perimeter Security Optimisation – India-based SOC for telecom systems with firewall and access control enforcement. Managed task delegation, improving SOC workflow eﬃciency by 30% Analysed and optimised firewall and VPN rules, reducing risk exposure by 20%. Reduced alert triage time by 15% through documentation of repetitive detection patterns.