Aggregated and cleaned large-scale public tax datasets using Python (Pandas/NumPy), identifying and visualizing millions of dollars in lost tax revenue to provide data-driven insights for policy advocates.

Engineered high-performance data visualizations by mapping complex legislative outcomes to intuitive UI elements; improved user engagement with policy data by 35% through a streamlined, interactive frontend experience.

Collaborated in an Agile environment with TechEquity stakeholders to translate policy requirements into technical specifications; reduced data-query latency by 25% by optimizing spatial indexing and frontend rendering.

Streamlined the feedback loop for weekly technical assignments by implementing a standardized grading rubric and providing detailed code reviews; reduced grading turnaround time by 20%, allowing students to iterate on complex Data Structures and Systems concepts before subsequent modules.

Orchestrated comprehensive exam-readiness workshops and individual review sessions in close liaison with lead instructors; resulted in a 90% student satisfaction rating and significantly reduced "at-risk" student numbers through early intervention strategies.

Engineered a secure, inclusive "Identity Lab" environment by implementing peer-support protocols and moderated discussion forums; cultivated a consistent 50+ member safe-space community, resulting in a measurable 25% increase in reported student belongingness.

Optimized resource accessibility and distribution systems for AAPI students by auditing existing support networks and centralizing academic/mental health tools; reduced the time to access critical resources by an estimated 50% through the creation of a streamlined digital resource hub.

Managed cross-functional collaboration between college administration and student leaders to advocate for AAPI-specific initiatives; successfully secured funding/space for 10+ large-scale community events impacting the broader Claremont Colleges campus.

Architected an automated regression testing suite using Python testing frameworks to track breaking changes in real-time, reducing manual QA oversight by 15 hours per month and ensuring 100% deployment stability for core visualization tools.

Streamlined developer onboarding and security workflows by authoring comprehensive API documentation and developing custom scripts to automate Auth0 authentication, cutting manual login/configuration time for the engineering team by 40%.

Developed and deployed an interactive analytics dashboard within the Jupyter ecosystem using Panel, providing a seamless bridge between raw data research and client-ready reporting that serviced over 50+ internal workspace queries daily.