Session: The Data Dream Team: LLMs, Warehouses, & Clouds
This session explores the power of cloud-based data analysis product and data warehouse. You'll learn how large language model streamlines SQL query writing and provides clear explanations, boosting data analyst efficiency. How it enables you to gain insights and build machine learning models directly with SQL. Discover how to integrate Generative AI models into data analysis, unlocking a new era of data-driven decision making. Additionally, see a real-world example of how Generative AI models integrate with data warehouse for advanced analysis using SQL. This session will equip you with the tools and knowledge to revolutionize your data analysis practices using SQL and the transformative power of Generative AI.
Bio
Nivedita boasts 8 years of experience as a Business Data Analytics specialist in the tech industry, and has worked at renowned companies like Google, Meta (formerly Facebook), and Uber. She holds a Master's in Business Data Analytics from the University of Illinois at Urbana-Champaign and is an Academic Excellence Award holder in her Bachelor's Degree in Electronics and Communication Engineering from Sikkim Manipal University, India.
As a Data Analytics Customer Engineer at Google, Nivedita directly collaborates with C-level executives, guiding them on best-practice data architecture and machine learning solutions within the Google Cloud environment.
Her commitment to excellence is evident in her numerous victories in case competitions, including 1st place wins at UIUC's Datathon and the Innovation Challenge. She received a Special Mention Award at a Dell-organized Hackathon.