How to Build Portfolio for Data Scientists, ML & AI Engineers | #TheWk #portfolio

Are you looking to create an impressive portfolio as a Data Scientist, Machine Learning Engineer, or AI Engineer? In this video, I guide you through the essentials of building a portfolio that will set you apart from the competition, whether you’re a beginner or looking to improve your existing portfolio.

I share practical tips and insights on:
• What makes a great portfolio for beginners in Data Science, ML, and AI.
• How to structure your projects and showcase your skills effectively.
• The importance of including real-world projects to demonstrate your expertise.
• Writing clean, understandable code that resonates with recruiters and hiring managers.
• How to describe your projects, methodologies, and results professionally.

Additionally, I explain a sample code linked in the description that can be used as part of your portfolio project. It’s beginner-friendly yet impactful for showcasing essential skills in Data Science and Machine Learning.

This video is a step-by-step guide for those looking to break into the field and want to know exactly what hiring managers are looking for in a portfolio. Whether you’re applying for your first internship or your dream job, this video will help you stand out!

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Видео How to Build Portfolio for Data Scientists, ML & AI Engineers | #TheWk #portfolio канала The Wk