Engine Design & Systems Integration - Aftermarket Analytics- Own analytics for engineering life cycle cost - identifying gaps and aligning with leadership on risk prevention; created automated dashboard capability from scratch, significantly improving lead time on issue identification.- Built automated understanding of turbofan engine reliability through statistical methods like Weibull, saving 40 hours of work through automation.- Automated value stream part tracking from the factory to the field and built enterprise-dashboard to visualize product flow.- Designed and deployed full-stack algorithms for forecasting engine deterioration, improving accuracy and speed to customer.- Developed front-end and back-end of Django-based python application with customers across the enterprise for interactive data visualization.- Built standard work on data analytics to improve data maturity at Pratt & Whitney to ensure consistent processes and knowledge transfer.- Engaged with senior leaders on data analytics strategy within P&W engineering.

Engine Design & Systems Integration - GTF Field Support Team Lead- Led engine investigations through polished data analysis & technical interpretation of field events in a high-pressure environment.- Leader in developing algorithms that monitor performance and operability issues in the product fleet, decreasing time to resolution.- Coordinated process improvements, including development of on-demand dashboard analytic tools in python that replace old and slow email alerting systems, saving 8 hours of work a week for practitioners.- Provide concise, well-written documentation of data findings for both internal customers & airlines dependent on prompt communication & precision.- Mentor & lead inexperienced team members by providing technical guidance and writing standard work, ensuring a growing technical proficiency.

Engine Design & Systems Integration - GTF Field Support- Communicated to airline customers the benefits of engine water wash to time on wing and performance by presenting at customer conferences.- Aided in the design & validation of risk mitigation options for product safety by building algorithms in python and automating simulations.- Conducted data mining & big data studies using steady state & full-flight performance data to understand the fielded product, improving safety.- Improved the processing time for full-flight simulations of transient field data by over 50% via development of an automated process.- Overhauled the field support engine deterioration monitoring process, moving it to a more robust & user-friendly python environment, saving ~16 hours of work a week.

- Taught and managed the laboratory portion of "Intro to Aerospace Engineering" during Spring 2017, where students conducted experiments into aerodynamics and designed a foam glider. - Graded homeworks, exams, and projects, and taught the MATLAB module for "Intro to Systems Engineering" during Fall 2016.

- Managed, conducted, and oversaw research projects in gas turbine combustion for aviation and power generation.- Developed and optimized data analysis code using MATLAB.- Designed testing facilities for combustion tests using Solidworks and integrated data acquisition and software using LabVIEW.- Authored and presented professional reports and presentations to industry partners.