• Developed Terraform program that imports and configures customers’ cloud resources and efficiently automates running SQL queries and outputting results to customers; greatly increasing transparency and visibility of Dell activity in customers’ AWS accounts.• Completed Latino Connection project centered on improving Dell’s recruitment and participation at the HSI Battle of the Brains. With the team, conducted focus group sessions, created volunteer sign-up forms and an event flyer, and determined the next steps on how the project should keep moving forward.

• Created data pipelines (using Microsoft Azure) to automate transferring crucial forecast data from third-party companies' environments into our environment.• Fulfilled work using Agile methodology and an Agile mindset.• Communicated efficiently with third-party companies and collaborated consistently to receive feedback and build the best product.• Work empowered business users to plan and strategize efficiently. Furthermore, work impeded confusion and mistakes caused by incorrect, outdated data, highlighted focus areas to effectively allocate the budget, and enabled data analysis.• Volunteered for a total of twenty-nine hours at Chevron volunteering events.• Engaged in two employee networks: XYZ and Somos.• Participated in three learning programs: Intern Peer Mentor Group, the Adopt-an-Intern Mentoring Program, and Surface Digital Platform Lunch Buddies.

• Learned about the applications and fundamental technical concepts of AI including types of machine learning, gradient descent and neural networks. • Practiced and tested knowledge of fundamental technical concepts through assignments in Jupyter Notebook using Python.• Investigated ethical implications related to data processing and AI implementation.• Collaborated with peers on final project with the aim of understanding and analyzing how social media algorithms influence survivorship bias and affect their users' mental health. Furthermore, used Jupyter Notebook and Python to build a Decision Tree model by using supervised learning methods in order to predict social media users' likelihood of social anxiety.• Earned Discover AI Certificate of Completion.