Avik Basu is a Staff Data Scientist at Intuit with over 8 years of experience in different ML domains. As a software engineer and data scientist, he has worked across the full stack, from building deep learning systems for AIOps to causal inference models that inform business decisions. His current work sits at the intersection of ML explainability, uplift modeling, and causal inference.
Avik is an active contributor to the Python and scientific Python community. He serves as an editor at PyOpenSci and has spoken at over a dozen conferences including PyCon, PyData, and KubeCon.
