I'm attending Texas State University as a Master's in Computer Science candidate (May 2020). I have a Bachelor's degree in Electrical Engineering from the University of Texas and and an MBA from Saint Edward's University. I have always had a passion for engineering and data-driven work. I'm currently doing research in the Efficient Computing Laboratory with Martin Burtscher as my advisor.
Spring 2020. Improvement on fast unfolding of communities in large networks. The objective of this study is to research methods of rapidly processing communities of graph networks using a modularity optimization algorithm known as the Louvain method. I am exploring application of parallel processing methods to improve in extraction of community structures in very large networks, whether it be a reduction in overall computation time or making reasonably accurate data available in intermediate time steps.
Discovery of communities is used at varying granularities in the analysis of embedded groupings of nodes, for example, in social communities at local, city, and national levels. Since manual inspection is not feasible with big data, a fast method for community discovery is beneficial when decisions must be made in a reasonable amount of time.
Fall 2019. Data science pipeline for Twitter data. This work encompassed exploratory data analysis on 3.1 million Twitter documents (stored in MongoDB) relating to a broad social media movement. I used python packages including Pandas, Numpy, and Gensim natural language toolkits to find user communities and extract specific topic phrases occuring therein.
sbs98 at txstate dot edu