• Large language models (e.g., GPT, Llama, Gemini), generative AI technology, and prompt engineering.• Leverage machine learning and deep learning frameworks and libraries to develop, implement, and optimize models.• Utilize statistical computer languages (Python, SQL, R, etc.) to process and analyze data, and draw actionable insights from large data sets.• Demonstrate creative thinking and a commitment to continuous learning in the field of data science and AI.

Collaborate with cross-functional teams to develop, deploy, and maintain AI-driven solutions.Assist in collecting, cleaning, and analyzing data from various sources to derive actionable insights.Contribute to the design and implementation of scalable data pipelines for model training and deployment.Support the integration of machine learning models into production systems using DevOps best practices.Participate in designing and optimizing CI/CD pipelines for continuous integration, testing, and deployment of AI applications on cloud platforms.Assist in infrastructure provisioning, configuration, and monitoring using cloud services such as AWS, Azure, or Google Cloud.Work closely with data scientists and engineers to understand business requirements and translate them into technical solutions.Research and experiment with emerging technologies and tools in AI, Data Science, DevOps, and Cloud domains.Collaborate on documentation efforts to ensure knowledge sharing and best practices across the team.

• Conduct multiple-source intelligence analysis on current and emerging threats using advanced research methods and analytical techniques to produce polished, actionable intelligence reports in coordination with the GIO’s intelligence strategy;• Provide support to Technical Analysts and Intelligence Officers in delivering tactical/technical intelligence to FS-ISAC members on sector-specific threats, in accordance with FS-ISAC classification and handling protocols;• Monitor and analyze real-time and historical information and conduct deep research from various sources daily;• Throughout the course of the internship, develop in-depth knowledge of financial sector assets, activities, and members to provide meaningful critical information support;• Participate in information security and cyber threat intelligence training and events; and• Evaluate and recommend open-source intelligence tools and resources to enhance threat analysis.

As a Data Specialist at Precision Analytics, I specialized in analyzing complex datasets to derive actionable insights and support data-driven decision-making processes. My role involved cleaning, organizing, and interpreting data using advanced analytical tools and techniques, such as Python, R, and SQL. I also developed predictive models to help clients optimize their operations and strategies. This position allowed me to apply my knowledge of data science in a practical setting, and it furthered my expertise in machine learning and AI applications.

In my role as a Training Specialist in the Mental Health sector, I was responsible for designing and delivering training programs focused on enhancing the technical skills and knowledge of healthcare professionals. I developed training materials and conducted workshops on data analysis, information technology, and effective communication. My work contributed to improving team efficiency and ensuring that staff could effectively use data-driven tools and methodologies in their roles. This experience reinforced my understanding of the importance of clear communication and continuous learning in the successful implementation of data strategies.

As a Project Manager at Repeat Dance, I lead the planning, execution, and delivery of various projects, ensuring that each one meets its goals within the specified timeline and budget. This role involves coordinating with multiple stakeholders, managing resources, and maintaining clear communication channels. My ability to analyze complex scenarios and develop strategic solutions has been key to driving the success of these projects. This experience has also strengthened my leadership skills and my ability to manage projects in a hybrid work environment.

As the Marketing Director at SAH Studios, I led the development and execution of marketing strategies that leveraged data analytics to drive business growth. I was responsible for overseeing all marketing activities, including SEO, content marketing, and digital campaigns. My role involved analyzing market trends and consumer behavior to optimize our outreach efforts and increase engagement. This position allowed me to merge my skills in data science with marketing, creating data-driven strategies that resulted in measurable improvements in brand visibility and customer acquisition.

At Fiona Stanley Hospital, I served as an Administrator, where I was involved in managing administrative tasks and supporting the operational efficiency of the hospital. My role included data entry, record management, and assisting in the coordination of hospital activities. I utilized my analytical skills to streamline processes, improve data accuracy, and support the hospital’s administrative needs. This experience provided me with a deeper understanding of the healthcare sector and the critical role that data management plays in maintaining effective healthcare services.

As a Driver for the Australian Army, I was responsible for the safe and timely transportation of personnel and equipment. This role required a high level of discipline, attention to detail, and effective communication. My experience in this position taught me the importance of teamwork, reliability, and adaptability—skills that have been invaluable in my subsequent roles across different industries.