Assisted the Lead Data Scientist with exploratory artificial intelligence and natural language processing initiatives in higher-education contexts by writing Python- and SQL-based code to test and evaluate large language models (including models accessed through Snowflake Cortex); conducted prompt experiments, reviewed and validated generated outputs against institutional data and use cases, and summarized experimental results to inform future projects as determined by the Lead Data Scientist. RELATED OCCUPATION: Data Scientist or any other job title performing the following job duties: Applied advanced statistical modeling, machine learning, and predictive analytics methods including time-series forecasting (ARIMA, Prophet, LSTM), survival analysis (Kaplan-Meier, Cox regression), and optimization techniques to institutional data requiring domain knowledge of admissions, financial aid, enrollment, and student success data to support university-wide analytical initiatives and operational efficiency.