Abstract: Business analysts and data scientists alike spend as much as 80 percent of their time finding, cleaning, and reorganizing data. In this session, we will lead you through a tested workflow on how to prepare data for machine learning. You will leave with a handy practitioner’s guide that outlines a repeatable process to help you going forward. Then, using DataRobot Paxata, the industry leading data preparation tool, we will demonstrate point-and-click ML-assisted data prepping functionality that can help you significantly reduce the amount of time you spend getting your data ready for models.
Bio: Shyam Ayyar is a Product Manager at DataRobot, where his primary focus is data preparation. He's worked at Paxata for 3 years focussing on Data Preparation. He has over a decade of experience in Data Management & Analytics primarily in the Financial Services industry with companies such as JP Morgan Chase where he has helped to build data pipelines. Shyam studied Computer Science and has worked in a variety of roles in building software products.
