- Facilitated the procurement of materials for solar car by securing sponsorships, negotiating discounts, and managing purchases- Worked closely with a small team to drive operational success and ensure economic stability

- Ensured safety of 100+ patrons in training facilities through enforcement of university rules and values- Exemplified communication skills to satisfy customer experience

- Facilitated competitive and fun environment for fair gameplay- Communicated important sporting decisions to ensure peaceful recreation environment

- Utilized machine learning processes and bin partitioning to reduce noise in emissivity dataset, and conducted adjustments of neural network learning rate within loss function in simple Multilayer Perceptron- Coded Multilayer Perceptron (MLP) in python and compared its efficiency to Kolmogorov-Arnold Networks (KAN), with findings that KAN completed stable noise analysis at a more efficient rate than MLP- Collaborated with small team to analyze data and optimize machine learning algorithms

Coded with python to create the backend of a climate website which displayed graphs of scattering angles

- Extracted and stored aerosol data from CALIPSO satellite to improve quality of aerosol depiction- Programmed geographic figures of aerosols using MATLAB software- Ensured that data between MATLAB and preexisting curtain images coincided in terms of aerosol distribution as well as geographically