Python Coder / Machine Learning / Data Modeling / Data Engineering / Problem-Solver / Statistics / Data Analytics
As a Data Science graduate student at Hofstra University with a Psychology, History, and Sociology background from the University at Buffalo, I have been fascinated by data for years. My goal is to turn data noise into beneficial research that improves people's lives. I am particularly interested in healthcare and gaming, as both fields have the potential to make a positive impact. Although I primarily code in Python, I am comfortable with R, HTML, and SQL syntax, allowing me to pivot quickly when necessary. When not coding, I enjoy reading books and manga, playing video games, weight lifting, and hiking.
Despite only beginning to learn how to code in August 2022, I have made rapid progress beyond what is typical for a computer science student. I attribute my success to my strong work ethic, eagerness to learn, and my passion for making the world a better place.
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Past this timeframe, explore the website to discover all of my projects, socials, and previous works
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Using Classification and Clustering Supervised Machine Learning Models to produce game outcome predictions.
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Documentation will be posted of my progress, SQL syntax practice and Tableau deployment basics
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Preparation for Fall 2023, additional projects and videos will also be posted during this time, just more sparsely.
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