Full-stack web development, building out features like coach matching, care recommendations, and scheduling tools.

As second data scientist, set up a lot of Brightline's data infrastructure, including data extractions using Stitch, Snowpipe, and custom jobs, transformations in Snowflake via DBT, and visualizations in Mode. Helped the business gain visibility on key metrics across care operations, growth, and member experience. Partnered extensively with the engineering team on setting up analytics tracking and collaborated with stakeholders across the company.

Research, prototyping, and productionalization of automated methods for extracting and prioritizing insights from business data.

Algorithms implemented included: automatic holiday detection, improvements to modeling of annual seasonality, detecting "launches" and finding comparable benchmark launches, clustering of insights across data sources, and improvements to feed ranking. Also contributed substantial performance optimizations, improving speed of key bottlenecks in data processing steps up to 100-fold.