During the Regen Rangers Hackathon, developed Gitcoin Analysis, a project that offers innovative solutions by delving into the data from Gitcoin Beta Round and providing insightful analyses. This analysis was subsequently published on my website, DSPYT-CodeVerse, and is still indexed and available for public access.  Gitcoin beta round data analysis aims to analyze the rounds and the number of grants in each round, examine the summary statistics of the funding amounts, and explore correlations between different variables within the Gitcoin ecosystem. By doing so, uncover valuable insights into the grant funding process, aiding in decision-making for future rounds and contributing to the transparency and efficiency of grant allocation.  What sets Gitcoin Analysis apart is its data-driven approach to understanding grant funding dynamics. By providing detailed analyses and visualizations, I offer a deeper understanding of the allocation of resources and the effectiveness of grant distribution. This not only aids