• Utilized advanced model selection techniques to develop code that allows students to input their standardized test scores and determine their percentile rankings across selected schools. The model was selected based on the Akaike Information Criterion (AIC), ensuring optimal balance between model fit and complexity for the most accurate predictions.
• Created two financial aid calculators: one that mimics the FAFSA process by calculating a comprehensive Student Aid Index through detailed personal finance inputs, and a second, simplified tool that provides quick feedback based on parental income level alone, significantly streamlining the financial aid estimation process for students.
• Conducted Retrieval-Augmented Generation (RAG) research to contribute to the development of an AI system capable of accurately answering student queries by leveraging and analyzing relevant documents on college admissions advice.
