Excited to expand my knowledge of detection engineering and threat hunting

• Conduct global-scale incident response forensic investigations, encompassing user systems, servers, and Industrial Control Systems (ICS) on multiple operating platforms including Windows, Linux, and OSX.• Regularly utilize an extensive suite of solutions to safeguard our infrastructure. These include, but are not limited to, CrowdStrike Falcon, Proofpoint, Abnormal Security, Zscaler, Qualys, and Dragos. By utilizing these advanced technologies, I effectively enhance our security posture, streamline incident response processes, and helped to craft custom detections to ensure the highest level of protection for our organization.• Transformed CSOC reporting by introducing a dynamic metrics framework, using data visualization libraries in Python, enabling real-time visualization. Regularly presented actionable insights to the CISO, enhancing strategic decision-making.• Assisted with automation development, implementing Python scripts as well as advanced playbooks within SOAR platforms for streamlining daily CSOC tasks.

• Utilized security information and event management SOAR tools such as Phantom to correlate and investigate security alerts, ensuring prompt response and resolution.• Developed Splunk dashboards to better aggregate logging data from many applications, such as Proofpoint, Crowdstrike Falcon, and ServiceNow• Worked with Cyber Threat Intelligence to investigate threat actors, and catelog threats.

• Acted as a mentor for 100 designated students over 2 years, while being the point of contact for academic or institutional questions.• Encouraged community atmosphere by implementing in-person and virtual educational and social programs.• Responded to in-hall incidents, and conflicts to ensure peaceful and fair resolutions.

• Learned in depth information, and history about the campus and relayed the information to upwards of 500+ attendants over 2 years through effective public speaking.• Supported the Office of Undergraduate Admissions by assembling recruitment materials and updating databases

•Assisted in processing and evaluating financial aid applications, ensuring accurate and timely distribution of funds to eligible students.•Provided exceptional customer service by promptly addressing inquiries, explaining financial aid options, and guiding students through the application process.

• Integrated GPT-J transfer learning with a rule-based NLP strategy for COBOL to Python with a 94% accuracy rate•Successfully implimented code linting, and static analysis tools for Python, C++, C#, COBOL, and NATURAL•Developed a preprocessing module to clean, transform, and encode data ensuring data-model compatibility