Eli Straus
I'm in the MBAi program at Kellogg, a joint degree with McCormick's engineering school. Before that I spent four years at EY, mostly helping clients figure out which AI projects were worth funding and then getting them built. This past summer I was a program manager intern at Uber in New York. Some of that work is below, along with a few things I've built on my own.
Selected work
- Support for customers who pay to never think about a rideI came into Uber Elite wanting to automate support. Interviews with the executive assistants who book most Elite rides changed my mind, and the future-state model became concierge support built on reaching out before something goes wrong.Case studySummer 2026
- League Pass churn-to-campaign pipelineA retention workflow that flags at-risk League Pass subscribers, drafts a personalized save campaign with generative AI, and holds every campaign for human review before it goes out.Live prototypeFeb 2026
- Turning an AI wishlist into funding decisionsAn automotive client's AI program had more ideas than budget and no way to compare them. I rebuilt intake around the three inputs its SVPs actually decided on, and the first review cycle reached decisions in about two weeks instead of five.Case study2024 to 2025
- League Pass live game assistantAn AI companion that sits beside a live League Pass stream and answers questions about the game, grounded in the box score and rulebook, with its source context visible on screen.Live prototypeFeb 2026
- State of the School deck generatorAn n8n and Google Slides pipeline that turns school data into the board briefing Chicago Public Schools leaders used to build by hand, with every claim traced to a source field.Build2026