Ashton Alexander Gill
Software Engineer | Statistician | Data Scientist | Tech Educator
★ BS Computer Science (UGA)
★ BS Statistics (UGA)
★ Certificate of Applied Data Sciences (UGA)
★ Certificate of Generative AI Applications (IBM)
★ Certificate of Intro to SQL (Michigan)
★ Founder of Sportwizzard.com
I am a software engineer with a deep focus on statistical programming, data analysis, and technological education. My expertise extends to advanced data manipulation techniques and predictive analytics-- utilizing tools such as Python, R, pandas, and regular expressions for robust data processing and pattern recognition. I also leverage machine learning algorithms to predict outcomes and generate actionable insights into real-world money making opprotunities.
Proficient in handling complex datasets, I apply logging and error handling to ensure reliable application performance. My role as a peer teacher at the University of Georgia enables me to blend teaching with hands-on technical skills, making complex concepts accessible to students.
With a robust background in applied statistics, I excel in designing algorithms and models that simplify data analysis, enabling clear visualizations and strategic insights. My expertise spans various statistical techniques including regression analysis, probabilistic forecasting, and hypothesis testing, all of which empower me to tackle challenging data problems effectively.
In the realm of data mining, I am skilled at uncovering hidden patterns and correlations within large, complex datasets. Whether it's through advanced clustering techniques, predictive analytics, or machine learning models, my goal is to extract valuable information that drives innovation and efficiency.
Projects
February 2024
Sportwizzard (Python, HTML, CSS)
This website scrapes sportsbetting data as well as statistical data and runs algorithms to provide bettors with positive expected value bets. Algorithms range from simple EV calculation to Linear Regression models to Random Forest AI models all to ensure maximum profit.
December 2024
Readly (JavaScript, Python, SCSS)
This website provides takes input of a users workload and breaks it down into manageable segments with daily recommendations of what to work on with suggested time alotments. Readly uses MongoDB to handle user data, SendGrid to send daily emails, and FastAPI for the web framework.
December 2022
Profit/Risk Forecaster (Java)
This project runs robust simulations given different value strategies that sportsbooks offer. Fully adjustable, it provides longterm insights given any users personal input. My tool provides users with a realistic way to find their most profitable strategy while also providing risk mitigation insights.