Sample projects

Analyzed repayment behaviors across dozens of pay-as-you-go (PAYG) solar energy companies serving off-grid populations throughout Africa, and developed KPIs to facilitate standardized reporting for PAYG portfolios.

Ran a machine learning competition to build models that automatically classify instructional activities and discourse from classroom video and audio. Automated analysis can make high-quality observation scalable, expanding access to teacher development programs that currently require time-intensive manual review.

Mapped out the probabilistic patient journeys through hospitals based on tens of thousands of patient experiences, giving hospitals a better view into the timing of the activities in their departments and how they relate to operational efficiency.

Built algorithms that put apples-to-apples labels on school budget line items so that districts understand how their spending stacks up and where they can improve, saving months of manual processing each year.

Flagged public health risks at restaurants by combining Yelp reviews with open city data on past inspections. An algorithmic approach discovers 25% more violations with the same number of inspections.

Aided anti-trafficking efforts at border crossings and airports by combining data across locations and surfacing insights that give interviewers greater intelligence about the right questions to ask and how to direct them.

Translated advances in machine learning research to practical software for clinical settings, building an open source application through a new kind of data challenge.

Developed online, white-label data science competitions for students to synthesize their learnings and test their skills on applied challenges. Each capstone features a real-world dataset that focuses on an important issue in the social sector.