LeetCode Problem Solutions
Collection of algorithmic coding challenges solved in Python and C++, covering data structures, string manipulation, and SQL/Pandas data analysis across easy to hard difficulty levels.
Problems Solved (6)
Overview
A curated collection of LeetCode problem solutions demonstrating proficiency in algorithmic thinking, data structures, and multiple programming languages. Problems range from classic interview questions like Two Sum to complex SQL/Pandas challenges like Trips and Users. Each solution is optimized for readability and efficiency.
Technologies
Key Features
- ✓Two Sum (Easy) - Classic array problem in C++
- ✓Find All Duplicates in Array (Medium) - Space-efficient C++ solution
- ✓Validate IP Address (Medium) - Regex-based Python validation
- ✓Trips and Users (Hard) - Complex Pandas data manipulation
- ✓Remove Duplicates from Sorted Array (Easy) - In-place C++ & Python
- ✓Water Bottles (Easy) - Mathematical Python solution
Challenges
Balancing time and space complexity trade-offs, handling edge cases in input validation, and writing clean, maintainable code under time pressure. The Trips and Users problem required complex multi-table joins and aggregation logic.
Results
Solved problems across Easy / Medium / Hard difficulties in three languages (Python, C++, Pandas), including SQL-style multi-table joins, regex validation, and O(n) array problems — comfortable across the full technical-interview surface.
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