VENKATA SATYA DAMASANI
+1-469-***-**** **************@*****.*** https://www.linkedin.com/in/venkata-satya-damasani/
SUMMARY
Five years of expertise in vulnerability management, incident response, penetration testing, and firewall optimization characterize this cybersecurity analyst. Solid background in network defense, cloud security (Azure, AWS), and compliance with practical knowledge of Tenable, Nessus, and Firemon. Possessing a Master's degree in Management Information Systems. A track record of implementing scalable security solutions, reducing cyber threats, and improving security posture by 30%. Competent in developing policies, working across functional boundaries, and being aware of cybersecurity issues, which guarantees strong protection for digital assets. Enthusiastic about enhancing firm security by utilizing technical know-how and analytical abilities.
TECHNICAL SKILLS
Technical Skills: Network Vulnerability Scanning Firewall Management IDS DLP Risk Management SOX Security Operations HIPAA Endpoint Security Cloud Solutions (Azure, AWS) Incident Response Microsoft Defender Log Analysis Data Integration & ETL Data Transformation Java CISCO Framework Object-Oriented Programming (OOP) Security Compliance (GDPR, CCPA) Risk Mitigation Network Performance Optimization Tools: Tenable Nessus Firemon ServiceNow Splunk Azure Security Center AWS Security Tools Git
EDUCATION
Master of Science in Management Information Systems_Fairleigh Dickinson University, Teaneck, NJ (May 2024)
B. Tech in EEE_Jawaharlal Nehru Technological University, Hyderabad, India (May 2020)
HONORS AND AWARDS
The Complete Cyber Security Course: Network Security
CompTIA Sec+ & CYSA+ (In Progress)
PROFESSIONAL EXPERIENCES
Client: Mosaic Life Care June 2024 – Present
Role: Security Analyst Responsibilities:
Led proactive threat detection efforts, identifying and mitigating 20+ critical vulnerabilities monthly, reducing enterprise risk by 30%. Monitor network traffic, and maintain IDS/IPS systems to protect against threats.
Conducted network security assessments by analyzing traffic logs and identifying anomalies related to unauthorized access, protocol misconfigurations, or potential security threats. Ensured compliance with industry standards and best practices.
Performed in-depth analysis of network traffic using protocols such as TCP/IP
Utilized Splunk for real-time log analysis and anomaly detection, enhancing proactive threat intelligence. Troubleshoot VPN-related issues impacting critical healthcare applications, ensuring uninterrupted access to patient data and operational systems.
Developed security dashboards in Power BI, tracking vulnerability trends and reducing reporting time by 40%, enabling faster decision-making for stakeholders. Identified and remediated 50+ security vulnerabilities, preventing potential financial losses of $100K+.
Assisted in pre-production deployment of network services by completing operational readiness checklists. Ensured proper monitoring, dependencies, and recovery procedures were in place.
Developed incident response playbooks for phishing attacks and malware outbreaks, reducing mean time to respond (MTTR) by 35%.
Automated compliance tracking using scripts and workflows in ServiceNow, improving audit readiness and reducing manual efforts by 30%.
Analyzed recurring incidents and created case studies with root cause flowcharts to streamline fault resolution and reduce downtime. Led cross-functional collaboration with IT and security teams, facilitating weekly risk reviews that accelerated patch deployment cycles by 20%.
Project: Fairleigh Dickinson University, Teaneck, NJ. Aug 2023 - May 2024
Role: Security Assistant – Responsibilities
Optimized security automation workflows, reducing incident response time by 20% across multiple academic and technical projects, enhancing efficiency in threat analysis, vulnerability assessments, and compliance reporting.
Conducted security assessments on robotic and embedded systems, identifying and mitigating vulnerabilities to ensure 100% functional performance and compliance with safety standards.
Developed and implemented cybersecurity protocols for robotic systems, securing communication channels, ensuring data integrity, and preventing unauthorized access, reducing potential cyber threats by 25%.
Enhanced security in AI-driven systems, improving gesture recognition algorithms by 35% while ensuring secure data transmission and authentication protocols.
Led cybersecurity awareness and tech events, increasing participation by 30%, fostering collaboration, and promoting best practices in ethical hacking, network defense, and digital forensics.
Performed security hardening on networked robotic systems, implementing encryption and access control measures to mitigate cyber threats and unauthorized intrusions.
Assisted in cybersecurity research projects, analyzing malware behaviors, encryption techniques, and secure communication protocols to support academic and industrial security advancements.
Conducted penetration testing on IoT and robotic devices, identifying vulnerabilities and enhancing security by 30% through remediation strategies.
Client: Iron Mountain - Tata Consultancy Services (TCS) Nov 2020 - Dec 2022 Role: Cybersecurity Analyst
Responsibilities:
Conducted network vulnerability scans across IRM’s global infrastructure, identifying and mitigating 30+ high-risk vulnerabilities, improving network security by 20% and reducing exposure to cyber threats.
Monitored and analyzed firewall logs weekly, identifying potential threats, optimizing firewall configurations, and reducing response time to security incidents by 20%, ensuring uninterrupted network performance.
Monitored and optimized network performance by analyzing traffic patterns, identifying bottlenecks, and implementing routing adjustments to ensure efficient data flow and minimal latency.
Gathered and documented security requirements for vulnerability management platforms, ensuring seamless integration with existing security tools.
Collaborated with cross-functional teams to enhance firewall and network security configurations, improving system efficiency by 15% and minimizing downtime during updates and patches.
Implemented cloud-based networking solutions for clients, optimizing Azure and AWS integration and increasing cloud resource utilization by 30%, ensuring scalable and secure network infrastructure.
Been a part of the Incident Response system to track down all the risks and provided solutions for them. Collaborated with the Client Director in the improvement of the project structure and discussed how to meet the changing requirements.
Developed security training materials and ensured alignment with compliance requirements and organizational policies. Competent at handling requests for changes and putting best practices into action through extensive study.
Worked together with international clients to detect and reduce cyberthreats, putting proactive security measures in place to protect networks in various geographical locations.
Network security infrastructure, such as firewalls, switches, and routers, was configured, maintained, and optimized to guarantee optimal performance, threat reduction, and adherence to industry standards.
Client: Tata Consultancy Services (TCS). Jan 2020 - Nov 2020 Role: Associate Systems Engineer –
Responsibilities
Developed and optimized network-related ETL workflows using Java, ensuring efficient data integration across enterprise systems while maintaining network performance and minimizing latency.
Collaborated on building and optimizing an Online Banking Application, ensuring secure data flow between systems, enhancing network security, and improving data integrity across multiple servers for reliable, efficient operations.
Gained hands-on experience with Azure networking technologies, implementing scalable data workflows to optimize network performance, enhance security, and streamline cloud infrastructure for improved client scalability.
Assisted in network troubleshooting and performance analysis, improving uptime and reliability by addressing connectivity and data flow issues, ensuring optimal performance and stability for large-scale enterprise systems.