Data Science Project Failures and Where to Find Them - Common Causes and Solutions

Learn about common pitfalls and failures in Data Science projects through this 11-minute conference talk from PyBay 2023. Explore four major categories of Data Science project failures - data, infrastructure, implementation, and culture - through real-world case studies and personal experiences. Discover practical strategies for controlling these challenges and implementing successful end-to-end Data Science projects. Gain valuable insights from speaker Grishma Jena's adventure-themed presentation that aims to destigmatize failure while providing actionable recommendations for the Data Science community.