Showcase Projects: Build a portfolio on GitHub and Kaggle, highlighting diverse projects with clear explanations and results.

Content Creation: Share insights and learnings through blog posts on Medium, LinkedIn articles, or by answering questions on platforms like Stack Overflow.

LinkedIn Optimization: Craft a compelling profile emphasizing your skills and projects. Engage with industry content and connect with recruiters.

Networking Actively: Attend virtual/in-person meetups and conferences. Engage in data science communities online.

Personal Branding: Define your niche and consistently present yourself as knowledgeable and passionate about data science.

Seek Feedback: Ask for critiques on your portfolio and online presence from mentors or peers.