In March 2025, Utku Dinc developed two core risk analytics features for the Julek-AK/AE2224-I-B04 repository, focusing on scalable risk evaluation and event-level review. Using Python and Pandas, Utku implemented a threshold-based binary encoding system to categorize risk levels, enabling rapid binary risk analysis and supporting faster decision-making for risk managers. He also engineered event-level risk aggregation by grouping data on event identifiers and compiling risk values into per-event lists, facilitating detailed event-specific analysis. The work emphasized performance optimization and robust data processing, laying a solid foundation for future risk monitoring without addressing bug fixes during this period.