Begüm Altıkulaç

- Analyzed SPARE-ICE satellite datasets using Python to perform quality control and detect long-term climatological trends. - Applied statistical methods to identify sensor-driven anomalies and ensure data integrity for modeling applications. - Compared and validated meteorological data from different sources to support the reliability of large-scale atmospheric models.

- Managed and analyzed cargo capacity data for the 1st Region, monitoring shipment performance to optimize revenue and flight utilization. - Identified and reported operational deviations, such as no-shows and cancellations, providing data-driven insights for strategic capacity adjustments. - Collaborated on regional capacity planning strategies, ensuring efficient resource allocation through detailed MS Office-based performance reporting.

- Analyzed a 24-year hydrometric dataset from multiple stations, focusing on water discharge, velocity, and sediment measurements. - Developed and visualized flow rating curves to establish accurate relationships between water levels and discharge. - Evaluated flow observation stations and measurement techniques to ensure data integrity for hydrological modeling.

- Optimized cargo flight capacity to maximize operational efficiency and cost-effectiveness. - Monitored revenue performance and provided data-driven support for regional capacity planning. - Contributed to strategic scheduling by analyzing historical shipment data and flight utilization rates.

- Supported flight dispatchers with real-time nowcasting and detailed weather reports for all landing and take-off airfields to ensure operational safety. - Prepared 3-day forecasts for base airfields and conducted seasonal risk analyses by integrating data from various numerical weather prediction (NWP) models. -Monitored critical weather phenomena to provide early warnings, supporting efficient flight planning and risk mitigation.