Welcome to my Data Structures and Algorithms (DSA) repository!
This project is a personal initiative to:
- Sharpen my problem-solving skills.
- Build a strong foundation in data structures and algorithms.
- Prepare for coding interviews and high-impact software engineering roles.
- Document my thought process, learnings, and optimizations along the way.
- Handpicked DSA Problems across topics like Linked Lists, Trees, Graphs, Arrays, Dynamic Programming, and more.
- My Original Solutions coded in Java.
- Detailed Explanations of logic and approach.
- Time and Space Complexity analysis for each solution.
- Mistakes, Optimizations, and Learnings recorded to continuously improve.
- Future Improvements tracked where possible.
- Language: Java (Primary)
- IDE: IntelliJ IDEA / Eclipse
- Version Control: Git
- Additional Tools: Markdown for documentation, GitHub for hosting
- Arrays and Strings
- Linked Lists
- Stacks and Queues
- Trees and Binary Trees
- Graphs
- Hashing
- Recursion and Backtracking
- Dynamic Programming
- Greedy Algorithms
- Sorting and Searching
- Advanced Topics (Trie, Segment Tree, etc.)
For each problem:
- Understand the problem requirements and constraints.
- Plan a strategy or multiple strategies.
- Implement a clean, efficient solution.
- Analyze the time and space complexities.
- Reflect on mistakes and possible improvements.
- Optimize wherever possible.
- Solve 500+ problems across all major platforms (LeetCode, HackerRank, Codeforces, GFG, etc.).
- Create pattern-based categorization (like sliding window, two pointers, binary search on answer, etc.).
- Build a searchable solution base (future automation: tagging + indexing).
- Contribute selected high-quality problems and solutions to open-source communities.
- Eventually evolve this into a DSA Learning Roadmap + Personal Interview Preparation Kit.
In the coming years, problem-solving ability will be even more critical with the rise of:
- AI-assisted development (developers who understand problems deeply will lead).
- Competitive product engineering.
- System design with efficient resource usage (time/memory).
Strong DSA skills are timeless — and the best investment in a long-term tech career.
If you want to collaborate on solving advanced DSA challenges, or just geek out over algorithms, feel free to connect!