Grace Okonkwo | Senior Cyber Security Analyst at Salesforce

Summary

Grace Okonkwo is a results-driven Cyber Security Analyst with 6 years of experience specializing in threat detection, incident response, and vulnerability management within dynamic technology environments. She excels at fortifying organizational security postures, mitigating risks, and implementing robust security solutions to safeguard critical assets. Proven ability to lead complex security incidents from identification to resolution, improving overall resilience against cyber threats.

Experience

Senior Cyber Security AnalystSalesforce

San Francisco, CAJun 2021Present

Led incident response efforts for over 50 critical security incidents, reducing average resolution time by 25% for high-severity alerts.
Developed and implemented automated threat hunting playbooks using Python, improving early detection capabilities by 30% for persistent threats.
Managed vulnerability management program across 1,000+ production servers, reducing critical vulnerabilities by 40% within 18 months.
Contributed to the design and implementation of new SIEM rules in Splunk, enhancing alert fidelity by 20% and reducing false positives by 15%.

Cyber Security AnalystCisco

San Jose, CAJun 2018May 2021

Monitored and analyzed security events from various sources (SIEM, EDR, IDS/IPS) for a global network of 50,000+ endpoints.
Participated in over 200 security investigations, successfully identifying and containing threats before major impact to critical business operations.
Contributed to daily threat intelligence briefings, informing strategic security decisions for a team of 15 analysts and senior management.
Improved security incident reporting efficiency by 15% through standardization of incident documentation and post-incident review processes.

Projects

Automated Phishing Email Analyzer

Jan 2023Apr 2023

Developed a Python script to automatically parse email headers and body content, identifying common phishing indicators.
Integrated with VirusTotal API to scan suspicious URLs and attachments, providing a risk score and detailed report.
Reduced manual analysis time for suspicious emails by approximately 70%, allowing for faster threat mitigation.

Home Network Security Lab

Sep 2022Dec 2022

Configured a virtualized home lab environment with pfSense firewall, Suricata IDS, and a Kali Linux VM for penetration testing practice.
Deployed a Splunk Free instance to collect and analyze logs from various network devices, simulating a small-scale SOC environment.
Practiced incident response scenarios by injecting malware and observing network anomalies, enhancing practical skills in detection and containment.

Education

University of California, BerkeleyMaster of Science in Cybersecurity

Berkeley, CASep 2018May 2020

Completed capstone project on AI-driven anomaly detection in network traffic, achieving 95% accuracy in identifying malicious patterns.
Member of the Cybersecurity Student Association, coordinating monthly workshops on emerging threats and security best practices.

Georgia Institute of TechnologyBachelor of Science in Computer Science

Atlanta, GAAug 2014May 2018

Graduated Magna Cum Laude with a GPA of 3.8/4.0.
Developed a secure file encryption system for final year project, earning top departmental honors and demonstrating strong cryptographic understanding.

Skills

Security Tools

Splunk ESQRadarWiresharkNmapNessusCrowdStrike FalconPalo Alto Firewalls

Threat Intelligence & Analysis

SIEM MonitoringEDRIDS/IPSMalware AnalysisThreat HuntingVulnerability ManagementMITRE ATT&CK

Incident Response

Incident HandlingDigital ForensicsRoot Cause AnalysisSecurity PlaybooksAlert TriagePost-Incident Review

Cloud Security

AWS Security HubAzure Security CenterIAMSecurity GroupsWAFCompliance as Code

Scripting & Automation

PythonPowerShellBashSOAR PlatformsAPI Integration