Built Python/pandas workflows to clean, validate, and combine 1M+ residential CRMLS real estate records across Sold and Listing datasets.

Integrated mortgage-rate data with MLS records to support market trend analysis across price, volume, listings, and days-on-market metrics.

Created data-quality flags for missing values, duplicate columns, invalid dates, negative DOM, and geographic coordinate issues while preserving row counts.

Developed Tableau dashboards for California Market Analysis and Competitive Analysis, including agent, office, ZIP-level, and market-share insights.

Built multimodal evaluation pipelines to surface AI failure patterns across model outputs.

Generated prompts, rubrics, and benchmark datasets for training and evaluation workflows.

Built a Streamlit dashboard tracking ticket-sales pacing and status KPIs for decision support.

Quantified a post-COVID ticket sales shift (~32% decline) to inform planning and outreach.

Built a Python pipeline for customer segmentation using K-means and DBSCAN.

Automated route optimization with a genetic algorithm and Google Maps API, improving efficiency by ~25%.

Mapped merit-aid policy timing to individuals using ACS 2009–2011 data.

Estimated effects of merit-aid timing on STEM completion.

Managed club finances and supported data science community events and initiatives.

Organized 20+ major events for ~100 cadets while enforcing standards and teamwork.

Supported squadron IT needs and day-to-day operational readiness.