At General Assembly, I’ve gained hands-on experience in SQL, Python, exploratory data analysis, statistical modeling, and machine learning. I developed and presented a Python simulation project and analyzed a real-world dataset for an end-to-end EDA project.
I built the Procurement AI Assistant to translate natural-language questions about California State procurement data into MongoDB queries and insight-driven answers. For my senior project, OwlLens, I developed a platform that classifies children’s drawings into six categories, reaching 78.3% accuracy and adding Grad-CAM heatmaps to help explain predictions.
