About
I like finding the point where data becomes useful.
Analytics & Strategy · Business Intelligence · Decision Analytics
SQL · Snowflake · Tableau · Python · Power BI · Excel · Applied AI
I'm an analytics professional who works across business intelligence, analytics engineering, and strategy. I enjoy taking ambiguous questions, tracing them through imperfect data, and building something the business can actually use.
My work spans reporting architecture, semantic data models, data-quality investigations, executive reporting, incentive analytics, workflow automation, and AI-enabled self-service analytics.
The common thread is trust: clear definitions, correct populations, reliable joins, and outputs that reconcile before they reach a business decision.
Experience
Built across business, BI, and data.
cabi
Analyst, Analytics & Strategy
Jan 2026 – Sep 2026
Analytics and strategy work spanning Snowflake, Tableau, executive reporting, data quality, incentive analytics, workflow automation, and Cortex-powered self-service analytics.
Kaiser Permanente
Data Analyst
Jul 2024 – Dec 2025
Enterprise analytics, ETL modernization, Power BI reporting, trend and variance analysis, and cross-functional data work.
Trigent Software
Data Analyst
Jan 2020 – Aug 2022
BI, ETL, SQL optimization, Tableau and Power BI reporting, and customer segmentation across retail, e-commerce, and marketing environments.
Principles
Trust the numbers
Definitions, populations, joins, and reconciliation matter as much as the query itself.
Understand the business
Good analytics starts with understanding what the metric is actually supposed to mean.
Make it reusable
If a question keeps coming back, the solution should eventually become a model, product, or workflow.