Deepyaman Datta
Deepyaman is a maintainer of Kedro, an open-source Python framework for building production-ready data science pipelines. He is passionate about building and contributing to the broader open-source data ecosystem.
Previously, Deepyaman was a software engineer at Voltron Data. Before their acquisition by Voltron Data, he was a Founding Machine Learning Engineer at Claypot AI, working on their real-time feature engineering platform. Prior to that, he led data engineering teams and asset development across a range of industries at QuantumBlack, AI by McKinsey.
Sessions
Libraries like Ibis have been gaining traction recently, by unifying the way we work with data across multiple data platforms—from dataframe APIs to databases, from dev to prod. What if we could extend the abstraction to machine learning workflows (broadly, sequences of steps that implement fit and transform methods)? In this tutorial, we will develop an end-to-end machine learning project to predict the live win probability at any given move during a chess game.