I'm a data scientist and analytics lead in customer and marketing analytics. For eight years I've built and measured the models and experiments that change customer decisions: predictive modeling for lifetime value, churn, and propensity, experimentation and measurement, and the analytics engineering that keeps it all repeatable.
- Predictive modeling. Production models for customer decisioning, from feature engineering through evaluation, deployment, and monitoring.
- Experimentation and measurement. Intent-to-treat analysis, power sizing, and multiple-testing control, with attention to how a result can be wrong before it is reported.
- AI-assisted analytics. Reusable workflows and tooling built with LLMs and Claude Code.
Tools: Python, SQL, R, dbt, Snowflake, BigQuery, Redshift, Databricks, Power BI, Looker
- blink-camera: keeps a Blink camera's live view alive and restreams it as a buffered MPEG-TS feed. Includes a token-bucket pacing scheduler and a diagnostic mode for separating upstream problems from pipeline problems.
Analytics Manager at Actable, previously Data Scientist at Predictable, Actable's predictive-modeling spin-out, and Data Analyst at WebMD Health Services. M.S. in Data Analytics, Oregon State University.