NATALIE MARTINEZ

Develop and deliver comprehensive cybersecurity training programs for 20 students based on current industry’s best practices and emerging threats to expand knowledge and increase familiarity

Design and implement hands-on exercises and simulations to ensure practical experience for learners, thereby increasing real-world understanding of cybersecurity concepts and techniques

Leveraged Google Classroom/Google Workspace extensively to manage course materials, assignments, and communication channels, facilitating seamless interaction with students.

Remain up-to-date on the latest cybersecurity technologies and methodologies advancements to incorporate relevant updates into the curriculum, resulting in comprehensive training materials
Collaborate with leadership to assess and evaluate the effectiveness of cybersecurity training programs by gathering feedback and making continuous improvements to optimize the overall learning experience

• Introduction to Computing and Programming
• Computer and Network Security and Forensics
• Teaching freshmen-level course in Introduction to Computing and Programming
• Coordinated theory and practice programming skills in C++
• Teaching senior-level course(s) in Computer and Networking Security and Forensics
• Coordinated lab geared towards firsthand application with Intrusion Detection System Snort
• Organized, modified, and prepared material in lecture-style format
• Animate students to reason for themselves through examples and online discussion
• Feedback is provided to students within 24 to 48 hours
• Instructional design of content online through CUNY Blackboard and Cengage
• Mentored and advised students to explore career pathways based on and amplify knowledge, skills, and strengths.
• Evaluated and revised lesson plans and course content to achieve student-centered learning.
• Used variety of learning modalities and support materials to facilitate learning process and accentuate presentations.
• Created and designed quizzes, tests, and projects to assess student knowledge.
• Selected and designed lesson plans and curriculum to meet academic objectives.
• Used PowerPoint and Google Classroom technology to give presentations to student classrooms.
• Utilized distance learning technology to instruct students remotely.
• Arranged syllabus, developed schedule, and determined reading list for varied courses simultaneously, giving students appropriate time to complete assignments and absorb information.

• For Introduction to C++ and Object-Oriented Programming Computer, and Network Security and Forensics
• Tutoring for college students in Computer and Networking Security and Forensics
• Leading the students for researching the fundamentals to understand the material at hand
• Mentored struggling students one-on-one regarding course materials and other academic issues
• Working with other tutors to improve and integrate process of information security
• Kept office supplies well organized and sufficiently stocked, placing orders promptly to replenish materials before depleted.
• Edited and proofread documents for accuracy and completeness.
• Coordinated and scheduled meetings and appointments.
• Assisted with onboarding of new employees.

• Teaching for a senior-level courses in Computer and Networking Security and Forensics
• Coordinated a lab geared towards firsthand application with the Intrusion Detection System Snort
• Animate students to reason for themselves through examples and online discussion where in some they incorporate real world examples to the lecture and class activities
• Feedback provided to students within 24 to 48 hours
• Instructional design of content online though CUNY Blackboard
• Engaged students with insightful and compelling classroom discussion of topics relevant to coursework to boost student learning and retention.
• Collaborated with department head to create dynamic, ongoing curriculum development, and instruction improvement program.
• Organized, prepared, and revised course material and applied technological options for online and course-related software.

• Assisted to review a set of reverse engineering daft labs for a potential class
• Researched open sources for reverse engineering tools using platforms such as IDA Pro,
• Gathered research for IDA Pro 7.0/5.0 and the Reverse Engineering labs
• Reported all the findings and information of the research in a detailed analysis
• Performed statistical, qualitative, and quantitative analysis.
• Worked both independently and collaboratively in fast-paced laboratory environment.
• Reviewed documents and data to identify trends and patterns.
• Gathered, arranged, and corrected research data to create representative graphs and charts highlighting results for presentations.

• Developed an insider threat program for the financial services sector as a Behavioral Analyst on a student team mentored by industry professionals
• Conducted a risk assessment on the financial industry's global infrastructure utilizing the National Institute of Standards and Technology (NIST) Cybersecurity Framework
• Designed, documented, and communicated policies and procedures that complied with international statutory and regulatory cybersecurity requirements
• Co-presented strategies to industry insiders demonstrating critical cybersecurity infrastructure in the U.S
• At the Federal Reserve Bank of New York
• Analyzed problems and worked with teams to develop solutions.
• Prepared project presentations and reports to assist senior staff.
• Explored new technologies and approaches to streamline processes.

• 3.9 GPA
• Summa cum laude graduate
• Thesis: Emergency Management - The trend of hurricanes and storms is that the hight winds cost the most in damages and Death.

• Magna cum laude graduate
• Dean's List Fall 2015 - Spring 2019
• 3.7 GPA
• The National Honor Society of Leadership and Success Member
• Capstone Project II: Creations of Logros website , Exhibiting the methods of security of Logros,
• Invited to participate with my group at Bloomsburg University for BloomCON
• Capstone Project I: QSYM, using hybrid and regular fuzzing in cybersecurity to detect or reveal any software anomalies