Created Time Series STL decomposition models in R to find anomalies in streaming service daily sign-ups to understand new content impact on sign-up numbers

Built a scalable process to incorporate the models and flow anomaly sizes and shapes into a Tableau dashboard.

Supported a clean room through Snowflake and built out multiple analytical assets to understand user level engagement with company content.

Performed multiple analyses in Snowflake to understand content acquisition rates for cross platform viewers

Performed exploratory analysis on board game data to understand popularity trends, and designed Tableau dashboard to visualize.

Developed a regularized polynomial regression model to predict MLB game attendance.

Developed both a random forest model and an XGBoost model to predict outcomes for animals at an animal shelter.

Saved over $100,000 by developing and automating SOAP requests process to acquire 3rd party vendor data

Co-led initiative to improve catastrophe risk profile, specifically around wildfire risk.

Developed and implemented dynamic dashboards for monitoring KPIs and data controls.

Mentored junior analysts and led skill development sessions for product managers and analysts.

Increased process efficiency by over 200% through stored procedures and SQL code optimization.

Managed relationship with external clients, including communication and reporting.