Product & Marketing Analytics Data Scientist — A/B testing, causal inference, churn & LTV modeling. I also build open-source data tooling: dbt-multidocs (on PyPI) and chart-dashboard (a Claude Agent Skill).
📍 Minneapolis, MN · 🎓 University of Minnesota · 💼 Open to Data Scientist roles (Product / Marketing Analytics) LinkedIn · Email
Product Analytics — user-journey analysis, KPI definition, A/B test design, causal inference for retention and engagement. Marketing Analytics — churn and LTV prediction, customer segmentation, channel attribution and acquisition ROI. Analytics Engineering — dbt, warehouse modeling, cross-project lineage, dashboards stakeholders actually open.
| Project | What it does | Stack |
|---|---|---|
| dbt-multidocs | Merges independent dbt projects into one cross-project lineage page — no warehouse connection, no runtime deps. Published on PyPI. | Python, dbt, DuckDB |
| chart-dashboard | Claude Agent Skill that turns raw data into a self-contained HTML dashboard with interactive SVG charts. Zero dependencies, works offline. | JavaScript, SVG, Claude Code |
| Search Ad ROI — Causal Analysis | Difference-in-differences study showing a reported 320% paid-search ROI was inflated by users who would have visited anyway. | R, causal inference |
Python SQL pandas scikit-learn statsmodels dbt Snowflake Databricks DuckDB Tableau Looker Power BI Git Airflow
Currently interviewing for Product Analytics / Marketing Analytics Data Scientist roles — happy to talk.