I was apart of the optimization team as an undergraduate research assistant.

We aimed to enhance the functionality and usability of the school opening/closing model by conducting comprehensive data analysis, consolidating blocks to reduce complexity, allowing for swift adaptations in response to decisions made by the school committee, and integrating the model seamlessly with the visualization team to facilitate real-time solution generation.

I worked on modifying the existing model by replacing files with easier to understand data. I also created statistical reports and presentations to showcase findings. In response to a request from the school district to build a new school in one of the district wards, I added a new school to the model and tested different scenarios (e.g. minimizing distance, only serving X-ward students) to inform the district's decision-making on the school's characteristics (e.g. capacity, programs offered).

I experience allowed me to learn from colleagues with different talents and specializations, contributing to the growth and advancement of the project. By working closely with my team, I was constantly able to absorb knowledge and make daily progress towards our goals.