Aishwarya Satwani enhanced the impression data model for the CCRI-POPROX/poprox-storage repository by introducing headline and subhead fields to the impressions table, enabling richer analytics and supporting future data-driven features. She approached the project using Python, leveraging Alembic for database migration and SQLAlchemy for schema updates. Her work included preparing the migration groundwork and updating related database functions to ensure a smooth transition for upcoming data changes. The enhancements improved data capture for impressions, laying a foundation for targeted experiences and actionable analytics. No major bugs or regressions were reported, reflecting a stable and well-integrated engineering contribution.