My SPiky POV
Most customer education teaches the product. That's why it doesn't work.
The thing customers actually lack isn't instructions — it's the judgment to know when to give way to the AI and when to take back the wheel. I've watched this in breast cancer risk scoring, in retail demand forecasting, and in a federal job training program with gold-tier benefits that almost nobody used. Same failure every time: customers need to know when, how, and why they should trust the product. Enablement is not documentation. It's building customers' agency to interrogate the product even after I've left the room.
Enablement
I live between the product team, engineers, and customers. That gives me a wide-angle lens to see around every corner and prevent issues proactively. Combined with my data science background and real experience building with AI, I know where deployments fail and how to defend against it.
Education
Webinars, videos, case studies — whatever gets the customer self-sufficient fastest. I believe in teaching from first principles. That means focusing on why products work the way they do, not just what they do. I don't preach coding or math — I promote judgment and agency.
Community
This is the work that brings me joy: on the front lines, hosting, connecting people, building relationships in real time. I’m a connector by instinct, curious by nature, and I believe that hospitality is a form of generosity.
Experience
Where I’ve done it.
2025 – present
Founder
Powered Analysis is my education company where I work out what's actually worth teaching about AI and data. It's my laboratory, not my exit.
2025 – 2026
Chief of Staff, Customer Success
The voice of the customer for Keywell's AI product launch. Oversaw Keywell’s enablement assets and secured new SOWs with existing accounts that grew revenue by over 40%.
2025
Analytics Lead
I came in to help retain a key customer in danger of churning, and I delivered the data-driven case studies used by the CEO to fight for their renewal and preserve 11% of ARR.
2022 – 2025
Founding Director of Data Science
I designed the analysis that got the first FDA approval of an AI algorithm to predict breast cancer risk. I taught our C-suite what the numbers meant, so they could close our Series B.
2022 – 2026
Data Science Instructor
George Washington University
I started teaching before ChatGPT, and finished as an evangelist for AI. Proud to be one of the first faculty to treat AI as a learning objective, not a tool to be shunned.
2015 – 2022
PhD, Political Science
University of Pennsylvania
Spent years digging deeply into why a job training program with gold-tier benefits went almost entirely unused. I sharpened a toolkit useful for solving any product or GTM problem.
Talks
Anyone can learn with the right teacher.
I teach Lightning Lessons on Maven that give high-performing operators the confidence to ask the right questions about data, enabled by AI.
Maven Lightning Lesson
Fix 4 Errors in AI Data Analysis Before the CEO Sees It
Four common errors in AI-generated data analysis, and how to catch them before they reach leadership.
Register on Maven
Maven Lightning Lesson
Catch Three AI Analysis Errors — Before You Run the Numbers
How to spot improper metrics, selection bias, and correlation–causation confusion in AI-generated analysis. No code or math required.
Register on Maven
How I work
I teach the way a good host runs a dinner.
Customers are my guests. Hospitality is my gift. I want them to arrive however they are, and let me guide their experience. I meet them with curiosity and empathy — I'm their ally in achieving success. When they feel comfortable, learning becomes joy, and joyful customers are repeat customers.
Get in touch
I’m exploring customer enablement, education, and community roles. The fastest way to reach me is a 30-minute call.