Miami, Florida, United States
Robots. Music. Automation. Video Games. Artificial Intelligence. Statistics. Learning. Teaching. Creating. These are just a few of my passions! All my life, I've taken steps to improve at the skills I've found interesting, from creating machine learning algorithms that recommend music to building an autonomous beach buggy. I'm a graduate of the University of Central Florida with a major in Computer Science and currently pursuing a Master of Science in Computer Science at Georgia Tech. Deciding my career, I wanted a degree that could encompass all of my curiosities; I looked at actuarial sciences, law, psychiatry, business, education. Still, none extended into all subjects I wanted to learn quite like computer science. With programming, I've created an agent to beat Pac-Man, built a website to create the highest DPS build in League of Legends, and performed analysis on the popularity of Spotify songs. In my last couple of roles, I helped patients who needed it most by identifying those with at risk features using machine learning, created finetuned large language models, and mentored juniors and interns into not just solving problems but asking why they needed to be solved. I'm always on the lookout for the latest technologies and willing to try new projects. I'm looking forward to your message!
Meandering about the world
• Transform raw data into action items and find and implement process improvement ideas. • Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical, and physical data model designs, architect and design ETL, reporting, and analytics. • Provides hands-on support for 'ad-hoc' and scheduled requests for all marketing related KPIs. • Perform data munging, data quality validation, outlier detection, test automation, and create ETL jobs. • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making. • Develop predictive models and new algorithms to solve data/business problems. • Run correlation, clustering, segmentation analysis as required. • Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations. • Provide research and administrative assistance for special projects as assigned.
• Sped up the workflow process of creation and modification of Canvas courses by making AutoHotkey scripts. • Eliminated 32 work hours of administrative tasks for reports and audits by making PowerShell scripts that accessed the Canvas API and converted the JSON of specific courses given arbitrary parameters into CSVs. •Improved technology usage by 50% among professors by writing PowerShell scripts that found courses where the online grade book was not being used. • Created and updated a database of professor team sites using Microsoft SharePoint.