Developed a reusable Data Analytics Utilities module for the DaleStudy/leetcode-study repository, focusing on accelerating analytics workflows through efficient data processing tools. The work centered on implementing core algorithms in Python, including containsDuplicate detection, Two Sum lookup, Top-K Frequent Elements, and Longest Consecutive Sequence detection. Leveraging data structures such as hash sets and heaps, the utilities were designed for modularity and ease of integration across projects. The approach emphasized clear commit discipline and code quality, resulting in a single, well-structured feature release. This module enables faster, more consistent analytics tasks by providing foundational primitives for common data analysis scenarios.