← Selected work
Sales prediction at Dell
A machine learning model for lead targeting, built as an intern.
During a summer internship in 2018, I built a model in Python that predicted sale outcomes at 91% accuracy. Applied to the customer base, it surfaced about 20,000 leads representing $129M in potential pipeline. The model was hosted on Azure so sales and marketing teams could get predictions and feed back new training data.
It was an internship project, so I'll keep the claims modest — but it's where I first saw that the interesting work is usually where data, revenue, and tooling meet, and I've been working in that intersection since.