"In a world full of noise, I seek the signal.
I clean data the way some people clean their house when guests (a.k.a. models) are coming."
🧠 Data scientist by day, backend whisperer by night.
📍 Living somewhere between raw input and actionable insight.
🔍 Currently predicting the future with 80% confidence and a ±5% margin of error.
💡 Believer in clean datasets, reproducible code, and the occasional SQL pun.
“Still waiting for a dataset that doesn’t need cleaning.”
If you've ever debugged a pipeline at 2 AM or argued with a model about bias we'll probably get along.
Let's talk data, ideas, or just share good API documentation.
