Are you spending endless hours building Kaggle projects, taking online courses, or polishing GitHub repositories to get hired in tech? **Doing generic portfolio projects is a complete waste of time** if your primary goal is landing a job offer in data science, machine learning, or AI[1]. Here is what actually moves the needle depending on your experience level: 🔹 **If You Have Experience (or 1+ Internship):** Stop building fake projects[4][5]. A decade or even a few months of real-world experience carries far more credibility than any tutorial project[2]. Focus your energy on **market positioning, impact-driven resumes, LinkedIn optimization, strategic networking, and interview frameworks**[6]. 🔹 **If You Have Zero Experience:** Generic tutorial projects won't differentiate you from the competition[3][9]. Instead, do **pro-bono freelance work** on platforms like Fiverr or Upwork to solve real business problems for clients[10]. This gives you genuine client experience and instant credibility on your resume[10][11]. 📌 **Key Takeaway:** Projects are great for fun and personal learning, but if you want job offers, focus on strategic positioning and real-world client impact[10][12]!
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