• Modernized and refined the ETL process for automated business performance reports while migrating pipelines from SAS to Python, expanding the accessibility and capability of the reporting infrastructure • Evaluated the accuracy of performance goals by comparing current KPIs with historical data using Python, SAS, and Microsoft Excel

• Developed a widely applicable optimization tool using Python that furthered insights about the objectives through interactive 2D and 3D plots of the Pareto Front • Demonstrated how the Pareto Set is leveraged to estimate potential performance increases, understand the relationship between competing objectives, and identify how design constraints constrict the feasible design space

Tasked by Air Force Research Laboratory to increase the thrust to weight ratio of a micro-gas turbine engine• Designed thrust augmenting nozzle that improved exit pressure and reduced flow swirl; Resulted in a 33% increase in T/W and placed 2nd out of 12 other competing universities• Developed a thermodynamic model of the engine using Numerical Propulsion System Simulation. Fit the baseline engine performance within 10% error of experimentally measured engine performance