Working on Air Traffic management software for Urban Air Mobility Operations for the Aeronautics Directorate.- Conducting an uncertainty analysis to study the effects of departure and flight time delay on airspace management for urban areas.- Working on a more advanced demand capacity balancing algorithm to mitigate the effects of uncertainty using data from the study.- Implementing the next layer of complexity to the model with the uncertainty module added to the simulation tool- Published and presenting paper on uncertainty modeling to the Digital Avionics Systems Conference 2024

Conducted Market and Product Research for a startup company in the EV Industry- Data analysis to find optimal locations for the company using a variety of market and demographic factors- Worked with Clients and my IBC Team to create a business model and execution strategy for the company

Appointed by Governor Lamont to serve as a student member of the State Board of Education (SBE) to provide a student perspective to the SBE on current education policy discussions.

Android Network Traces Application with Professor Jason Hong- Worked with the Professor at the School of Computer Science at Carnegie Mellon with three undergraduate students to create an application to help understand ‘Who’ knows ‘What’ about us and ‘Why’ based on the data that they collect from us.- Used JavaScript and Node.js to build & integrate APIs to extract MongoDB data tracking user location, preferences, and keystrokes- Extracted MongoDB data using Mongo APIs and Transform to Java data structure with N:N Entity relationship to Visualize

Computer Science Project Intern-Worked directly with Energy Traders to create a regression model to forecast natural gas burn for 7 regions (Python & SQL server)- Wrote data cleansing algorithm to clean and interpolate missing Power load and Price data for the Time series database- Conducted back-testing of Burn model to check accuracy and refined it by changing input variables based on what Gas traders recommended. It produced very high overall R^2 values and p values below 0.05 for all variables proving the model's efficacy.- Wrote the exchange reconciliation process comparing multiple trade attributes which eliminated hours of manual reconciliation