Curate and discuss articles, webinars, and campus talks about GenAI, data-driven decision-making, and how businesses in India are adopting analytics. Share your insights on emerging trends and future opportunities in the analytics space.

Discuss strategies for building a compelling analytics portfolio during your PGDM. Share insights on Kaggle competitions, real-world projects, internships, GitHub repositories, certifications, and LinkedIn profile optimization. Learn from peers about how to stand out for analytics and consulting roles.

Welcome to the PGDM in AI & Business Analytics! This is a space for new students to introduce themselves, share their background, expectations from the course, and the domains they are interested in exploring such as marketing analytics, finance, operations, HR analytics, or beyond.

What’s the best approach for deploying ML models in production? Containers, cloud platforms, or on-premises?

Tips and tricks for optimizing SQL queries on large datasets. What are your preferred approaches for performance tuning?

As someone with an engineering background, how can I best position myself for an analytics career? What skills should I focus on developing?

What are your recommended best practices when setting up analytics projects in Python? I’m interested in learning about project structure, libraries, and tools that have worked well for professional teams.