Aishwariya Chakraborty developed semantic profiling and concept extraction capabilities for the code profiler in the IBM/data-prep-kit repository. She implemented higher-order syntactic profiling and enabled automated report generation based on extracted universal abstract syntax trees and identified concepts. Using Python, she focused on code analysis and data transformation to expand profiling insights across multiple libraries and languages, allowing for deeper code understanding and data-driven optimization. Her work improved profiling accuracy and enhanced reporting readiness, delivering a robust end-to-end feature. The project demonstrated depth in both technical implementation and business impact, addressing the need for advanced code profiling in data preparation workflows.