• Researched concepts of AI Transparency including Algorithmic, Interaction, and Social Transparency as well as Explainable AI and gained understanding of how these concepts are practically implemented within AI models. • Collected 145 sources using the PRISMA method and approved articles that align with research case studies that use AI Transparency to express how AI systems can function, make decisions, and present results. • Constructed 4 core themes that were found within the approved sources of the participatory action research studies and influenced the professor to incorporate these themes into an ongoing research project.

• Developed and implemented an automated solution for backing up and archiving financial data to the cloud, to adapt to the IT governance policies. • Hands on experience with AWS by demonstrating a commitment to learning basic levels of cloud computing technologies and developed understanding of various services such as S3 and EC2.