Isaac Dzakpata developed a risk visualization enhancement for the MUNQuantSociety/MQSMaster repository, focusing on improving the clarity of risk signals during active trading hours. He implemented a filtering mechanism that restricts risk graph data to specific trading sessions, using session-hour and weekday filters to exclude non-trading periods from visualizations. This approach, built with Python and Pandas in a Jupyter Notebook environment, refactored the rolling risk graph for better maintainability and performance. By updating the plotting logic with Plotly, Isaac ensured that traders receive more accurate and actionable risk information, directly supporting more informed decision-making during live trading sessions.