We are a student-run community dedicated to exploring data science, machine learning, data engineering, and analytics. Our goal is to bridge the gap between academic theory and real-world application through hands-on projects, workshops, and collaborative learning.

Here is how we organize our work across the club:

• Community Hub (community)
  Your go-to place for all session materials, code snippets, learning roadmaps, and resource links.
• Project Repositories (project-*)
  Dedicated repositories where members collaborate on hands-on data science and engineering challenges.

• Weekly Sessions: Code files, notebooks, and presentation links from our meetups.
• Open Projects: Collaborative initiatives ranging from exploratory data analysis to machine learning pipelines.
• Learning Resources: Curated lists of books, tutorials, and data science cheat sheets.

• Join Us: Whether you're just starting out or have experience in data engineering and modeling, there's a place for you here.
• Contribute: Found a bug in a code snippet or want to add a resource? Open an issue or submit a pull request!