Wafa Faisal
Resume
EXPERINCE
Government Entity (2022-Present)​
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Create and Fine-tune use cases in Splunk and EDR (Carbon Black) to ensure comprehensive visibility and strengthen the organization's security posture.
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Ensured comprehensive visibility and monitoring of critical applications.
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Analyzed IoCs from the Threat Intelligence team and validated use case mappings to the MITRE ATT&CK framework, enhancing threat detection capabilities.
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Designed and implemented automated playbooks using XSOAR (Cortex XSOAR) to streamline incident response processes, enabling autonomous incident closure without human intervention.
EDUCATION
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Master of Data Science​​​​​​
Prince Sattam bin Abdulaziz University - 2021
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Bachelor of Information Technology - Data Management Track
King Saud University - 2018​​
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Data Science Bootcamp​​​​​​​​​​​
Saudi digital Academy​ - 2022
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Artificial Intelligence Bootcamp
National IT Academy & MCIT - 2021
PROJECTS & PUBLICATION
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Research paper: "Similarities between Arabic Dialects: Investigating Geographical Proximity"​
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Research paper: "COVID19 vaccine rejection causes based on twitter people's opinions analysis using Deep learning"
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Research paper: "Twitter Sentiment Analysis During Covid-19 Quarantine using Machine Learning and Deep Learning Models"
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Analyse data and create Dashboards using (PowerBI, MongoDB and Excel)
ACHIEVEMENT
First place winner – Women in Data Science (WiDS) Poster Competition 2021 for the research:
"Sentiment Analysis of E-learning Tweets during the COVID-19 pandemic using Machine Learning and Deep Learning"
ADDITIONAL
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Tools: Splunk, XSOAR, Carbon Black, Virustotal, Kaspersky, Tenable, ThreatQ, Wireshark, Forecourt, Proofpoint, Vectra
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Programming Languages: Python, SPL, R, SQL, PHP, JavaScript, HTML/CSS, Java
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Technical skills: Detection Engineer, SIEM tools (Splunk),Threat detection and response, Incident management and response, Vulnerability assessment, Network security monitoring, Firewall and IDS/IPS technologies, Log analysis and parsing, Scripting languages (Python)