Estos 4 errores arruinan tu portfolio | cómo arreglarlo en 30 días

Most data portfolios show that you studied. The problem is that whoever is evaluating you—the tech lead, the hiring manager—isn't looking for that. They're looking for evidence that you make good decisions and solve real problems. In this video: the four most common mistakes that prevent your portfolio from generating interviews, and a concrete 30-day plan to correct them without throwing away what you've already accomplished. Timestamps: 0:00 Introduction 2:01 Error #1 3:47 Error #2 6:50 Error #3 9:44 Error #4 12:15 30-Day Plan 17:33 Conclusions Follow me on social media for more Data & AI tips: 🔗 LinkedIn –   / luciano-darriba   🔗 Website – https://lucianodarriba.com/ 🧪 Datalab Workshop - https://lucianodarriba.com/datalab-wo... This channel is dedicated to people who want to change careers and get their first job in Data Science & AI. Here you'll find: ✅ Study strategies and roadmaps ✅ Tips for interviews, CVs, LinkedIn, and GitHub ✅ Projects and portfolios to stand out ✅ Guides to Python, SQL, ML, and key tools 🔔 Subscribe if you want to transform your career and enter the world of Artificial Intelligence. #DataScience #MachineLearning #AI #TechCareer #FirstJob