Data Scientist
Current• Surface latent concepts and barriers our clients experience by incorporating LLMs and NLP in cluster analysis, classification, and knowledge mapping models. • Quantify community outcomes and prioritize impactful initiatives through program evaluation using targeted surveys, participation tracking, and enriched data .• Bringing GoogleCloud and BigQuery into our tech stack for HPC and NLP needs.• Automated client financial need assessment , eliminating hours of manual processing, by integrating external, dynamic data with internal client data in an application-processing pipeline.• Increased scholarship allocation accuracy by 60 percent by developing model parameters, improving funding transparency and data governance.