I've led 90+ research and evaluation projects for mission-driven organizations across the U.S. and internationally, spanning financial inclusion, small business lending, and women's economic empowerment. My work sits at the intersection of research, data, and impact storytelling.
I spent five years at 60 Decibels leading impact evaluations for organizations working at the frontlines of financial inclusion, CDFIs, fintechs, and donor-funded programs serving small businesses and underserved communities. I joined at the start of the pandemic as the Paycheck Protection Program was rolling out, and most of my early work was helping CDFIs understand whether their emergency lending was actually reaching the people it was supposed to reach.
The sectors have changed, small business lending, women's economic empowerment, savings groups, but the job has always been the same: take messy, sometimes contradictory data and figure out what it's actually telling you.
Before 60 Decibels, I led economic research across seven countries for Oxford Business Group, Côte d'Ivoire, Morocco, Indonesia, the UAE, Qatar, Jordan, and Sri Lanka, interviewing 200+ CEOs and government ministers to produce market intelligence for investors and development finance institutions worldwide.
I'm based in Oakland, born and raised. I care most about the so what. Collecting data is the starting point, not the finish line. The part that's kept me in this work is what happens after, when an organization actually uses what they've learned to improve the product or service they're offering, and you can draw a line between that decision and a better outcome for the person on the other end. That's where the work gets interesting.
Designing and leading studies from single-organization assessments to multi-country, multi-wave programs, built so the findings survive scrutiny from funders, partners, and the field.
Pandemic-era emergency lending. A currency collapse in Lebanon. An eight-country longitudinal study across Sub-Saharan Africa. Most of my strongest work has happened when conditions were far from ideal.
The useful answer isn't always the flattering one. I look for what the headline numbers are hiding and make sure decision-makers see it in time to act on it.
If any of this resonates, I'd love to talk.