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 required refactoring the rolling risk graph for better maintainability and performance, as well as updating the plotting logic to ensure accurate representation of risk during meaningful trading activity. Isaac utilized Python, Jupyter Notebook, Pandas, and Plotly, demonstrating depth in data visualization and backtesting within a targeted one-month project.