Case studies from real product work, plus frameworks and lessons learned along the way.
Built self-service analytics suite for 60K+ event management users across 50 countries, unlocking new revenue streams.
Developed LLM-driven classification system to power customer benchmarking and competitive intelligence tools.
Led platform modernization for fintech serving 50K SMBs, reducing costs while improving data accessibility and governance.
Embedded analytics engineers across 8 verticals, democratizing data access and establishing self-service culture.
A practical framework for combating imposter syndrome and building promotion-ready cases. Includes template.
NDL → Should Do → Could Do → Others Should Do. A framework for clarifying who owns what on product teams.
The case for treating data platforms, APIs, and analytics as products—not projects. Lessons from 3 scale-ups.
When to centralize, when to embed, and how to evolve your model as you scale. Includes decision framework.
My approach to quarterly planning: hypothesis-driven, outcome-focused, and actually useful for engineering teams.
Reflections on leading with empathy, context, and a tendency to fix everything. Lessons from CliftonStrengths.
Why most self-service analytics initiatives fail, and what worked for me at Pollen (30 → 400+ users).