I'm a Data Science & Applied Statistics student at Purdue, minoring in Business Economics, graduating May 2027, and I care about the same thing on every project: turning an ambiguous question into a decision someone can actually act on. I'm an undergraduate researcher in adversarial ML and LLM evaluation at Purdue Statistics, second author on an upcoming peer-reviewed paper modeling adversarial ML as a Stackelberg game, and a contributing author on a forthcoming CRC Press book chapter.

I co-founded The Data Exchange Purdue, running end-to-end analytics engagements for external organizations, and I most recently worked as a Forward Deployed Engineer at VortexifyAI (YC F24), reconciling fragmented ERP data into a single integration layer for client operations teams. Earlier on, I was a Data Science Research Intern with Syngenta through Purdue's Data Mine, and a Data Science Intern at HUMN Capital.

Outside of work, I build side projects on Databricks, placed top 7 at the Databricks Data + AI Summit hackathon, and my writing has been featured on Built In. I also built a free tool called Experi, and the Medium article I wrote on it reached 43.8M in earned media as tracked by Purdue PR. I recently got featured by the Department of Statistics: "How Shlok Sheth Built His Purdue Experience."