Most business data is messy, incomplete, and full of quiet surprises. I take it from that state to a model you can trust, and I show my work along the way so you know why it predicts what it does.

What you get

• Cleaning, exploration, and feature engineering on your real data

• A predictive model, validated and reviewed for accuracy, stability, explainability, and bias before anyone relies on it

• Clean, documented Python your team can rerun and maintain

• A plain-language summary of the results, written for technical and nontechnical readers alike

I have built predictive models for real estate marketplace products at Realtor.com and for live event pricing and demand at Eventellect, and I hold an M.S. in Applied Statistics from Georgia Tech.