The first thing to focus on after completing your course is building a compelling portfolio. Include projects you’ve completed during your learning phase that highlight various aspects of data science — from data cleaning and visualization to machine learning models and real-world applications. Make sure your code is well-documented and stored in a version-controlled environment like GitHub. A solid portfolio reflects your capability and helps hiring managers assess your readiness for professional work.
Including your best projects and results in your LinkedIn profile and resume also makes you more noticeable to recruiters and hiring platforms. Especially in regions with growing tech potential like Guwahati, standing out with a polished digital presence is crucial.