HSR Early Termination Monitor

I engineered a dedicated data monitoring tool to track and visualize HSR (Hart-Scott-Rodino) early termination data in real-time. In the financial and legal sectors, tracking regulatory data manually is incredibly time-consuming and highly prone to delays, making it difficult for analysts and investors to act on new, market-moving information quickly. To address this critical business problem, I developed an automated monitoring platform using Python and Streamlit. My methodology involved building robust data automation pipelines orchestrated by GitHub Actions, which continuously fetch, parse, and process the latest termination data from official sources. The frontend was designed with Streamlit to provide an interactive, responsive UI that displays this data clearly. Furthermore, I designed the system with an extensible architecture capable of triggering automatic email notifications the moment new data is published. The outcome was the complete elimination of manual tracking, ensuring stakeholders have real-time visibility into regulatory updates. This project successfully created a scalable, reliable foundation for automated regulatory alerts, demonstrating my ability to combine Python data engineering with intuitive frontend design to solve complex, time-sensitive business challenges.

Key Features