AI PRODUCT MANAGER · DATA & ANALYTICS
AI Product Manager and Sr Data Analyst at Comcast. I've owned the roadmaps for an AI virtual assistant and a data center platform, and I still build hands-on: SQL and Databricks pipelines, forecasting models and the dashboards leaders use to decide. A finance background lets me connect every product decision to revenue, margin and ROI.
View my workFour roles, one habit: start with the problem, prove it with data, ship something people use.
LLM use-case evaluation and prioritization, AI roadmaps, semantic layer and data strategy, success metrics for accuracy, latency and adoption.
Discovery, PRDs, RICE prioritization, roadmaps, go-to-market, launch and post-launch KPIs. Owned a platform used by 500+ app teams.
Advanced SQL, Python, Tableau, KPI frameworks and executive dashboards. Forecasting models that supported $500M+ in funding.
Databricks, PySpark, Spark SQL, Teradata and ETL pipelines, data models, data quality checks and governance. Cut processing time 40%.
Each case study shows the problem, my thinking, what I built, what broke, and how I fixed it.
A self-service analytics product giving finance and product leaders one trusted view of revenue, cost and product performance.
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AI ProductLLMEvaluationA GenAI analytics assistant that answers business questions in plain English from governed metrics, and shows its SQL. 93% held-out accuracy.
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PythonSQLPricingRetailPricing and promotion analytics for a grocery chain. Found that only 33% of promotions paid back, and built a simulator to fix it.
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Practical AI. Product. Data.
I share simple, practical content about AI, product management, data analytics and emerging technology, breaking down complex ideas into things you can actually understand and use.