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, supporting deeper code understanding and data-driven optimization. Her work validated end-to-end feature delivery, improving profiling accuracy and reporting readiness. The feature addressed the need for more granular code insights, enhancing the toolkit’s ability to support advanced code analysis and transformation workflows.