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Showing posts from February, 2025
  1. Build a Strong Technical Foundation Master Core Subjects : Focus on fundamentals like Data Structures, Algorithms, OOP, DBMS, OS, and Computer Networks. These are critical for coding tests and interviews. Learn In-Demand Skills : Programming Languages : Python, Java, JavaScript, or C++ (pick 1–2 and get advanced). Tech Stacks : Full-stack (MERN/MEAN), AI/ML, Cloud (AWS/Azure), DevOps, or Cybersecurity. Tools : Git, Docker, SQL, etc. Practice Coding Daily : Use platforms like LeetCode, HackerRank, or CodeChef. Aim for consistency over quantity (e.g., 2–3 problems/day). 2. Build a Standout Portfolio Projects : Work on  real-world projects  (e.g., a web app, ML model, or IoT system). Highlight projects on GitHub (keep it organized with READMEs and documentation). Example: Build an AI chatbot, an e-commerce app, or a portfolio website. Open Source Contributions : Contribute to projects on GitHub. Start with beginner-friendly issues. Certifications : Add value with certif...