Justin Greene

Cybersecurity Bootcamp Participant
Aiken, SC | 2026

• Conducted cybersecurity audit for a local insurance company, assessing security practices and identifying potential risks to enhance security posture.
• Applied cybersecurity principles and classroom knowledge to a real-world business environment.
• Evaluated organizational security practices and gained hands-on experience identifying potential vulnerabilities and risks.
• Collaborated with instructors, mentors, and fellow participants to analyze cybersecurity challenges and discuss potential solutions.
• Strengthened practical skills in cybersecurity auditing, risk assessment, and information security.
• Applied cybersecurity concepts from training to align with organizational security needs, bridging theoretical knowledge with practical application.

• Applied machine learning and AI models, including decision trees, logistic regression, and linear regression, to develop predictive models for soybean yield using agricultural and environmental data from Calhoun County and three surrounding counties in the Orangeburg, South Carolina region.

• Collected, cleaned, and transformed large datasets for analysis using Python, R, SQL, and related tools, enhancing data readiness for modeling.

• Supported research initiatives in machine learning, artificial intelligence, data analytics, and cybersecurity.

• Tested algorithms, ran simulations, evaluated model performance, and documented results to refine predictive accuracy and research outcomes.

● Led a team of 4 to design and develop a mobile application aimed at helping farmers optimize crop growth by filtering the best parameters (e.g., soil type, weather conditions, irrigation methods) for specific crops.

● Received positive feedback from industry professionals for app usability and innovation, contributing to second place in the competition.

● Utilized data analysis and machine learning algorithms to process environmental and agricultural data, delivering personalized recommendations for optimal planting and cultivation strategies.

Tested algorithms, ran simulations, and performed debugging tasks to ensure quality of research outputs.