Hello everyone! My name is Rebecca, and I am from the USA. I recently graduated from the University of South Carolina and have been building my skills at the intersection of AI, data, and automation. My background is in business-oriented problem-solving, and I’ve been increasingly focused on the technical side of turning those problems into working systems. I work primarily with Python, SQL, Pandas, Streamlit, APIs, and generative AI, and I’ve been building projects that combine data with AI to solve practical problems. Some of my recent projects include an AI Learning Pathway Engine using O*NET data and a Healthcare Career Intelligence Engine. I’m especially interested in the space between understanding a business problem and actually building the system that solves it. Clay Goals: I completed the Clay AI Cohort and am continuing to deepen my understanding of Clay and AI-powered workflows. I’m interested in learning how experienced builders use Clay as part of larger data, automation, and AI systems rather than just as an individual tool. My goal is to become stronger at designing and building end-to-end systems, and eventually combine Clay with the broader engineering skills I’m developing. Burning question: For those of you who have gone from learning Clay to building more complex systems with it, what was the biggest shift in how you approached Clay as you gained experience?
