17/07/2026
Stop building "portfolio projects" that stay trapped in a Jupyter Notebook. ๐
Companies aren't looking for 98% accuracy on a clean Kaggle datasetโthey are looking for engineers who can take a model to production. ๐
If you want to move from beginner to job-ready, start focusing on:
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API development
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Containerization with Docker
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Cloud deployment
Real data science happens after the model is trained. Can you deploy what you build? Let me know in the comments! ๐