Welcome to My Portfolio Website!
I'm a Data Science and Software Student,
passionate about exploring
opportunities in insurance,
risk management, sports, finance, manufacturing, and healthcare.
Take a look around my site to discover some of my exciting projects and experience.
Here is my
Georgia Institute of Technology | Atlanta, GA
Graduation Date: December 2026
Focus: Machine Learning
Other: Candidate | Fall 2025 - Spring 2027 Invisible text for alignme-
Missouri State University | Springfield, MO
Graduation Date: December 2024
GPA: 3.9/4.0
Minor: Accounting
Honors: Phi Theta Kappa Honor Society, Dean’s List All Semesters
Here is my
Brewer Science Inc. – Springfield, MO
Dates: November 2024 – Present
● Enhanced software tools, including an VBA Excel template, to streamline sensor data analysis for scientists.
● Improved GUI-based software, enabling research teams to efficiently merge output files for further analysis.
● Designed and implemented robust code for ETL to support research workflows.
● Created an automatic peak detection alogrithm for sensor data to detect solution changes.
● Applied machine learning and data science techniques to analyze wafers.
Legal Net, Inc. – Springfield, MO
Dates: November 2017 – Present
● Review, analyze & process legal invoices to ensure billing guideline compliance.
● Make appropriate adjustments to invoices upon identifying non-compliance.
● Accurately code billing entries and assist claims examiners and law firms with billing issues.
● Recognized as the highest volume data processor from 2019-2022.
● Maintained dashboards in Power BI to visualize clients’ legal costs.
Mattax Neu Prater Eye Center – Springfield, MO
Dates: May 2021 – August 2022
● Reconcile all credit card statements and company bank accounts monthly.
● Monitor vendor statements monthly and assist Chief accountant as needed.
● Used Python to automate bank reconciliation and created an SQL database.
● Created SQL scripts to improve efficiency in report creation.
Browse My Programming
Using Machine Learning in preparation to predict the NBA Champion right before the playoffs for every upcoming year!
Using Machine Learning in preparation to predict the NCAA Men’s March Madness Champion right before
the tournament for every upcoming year!
Using Machine Learning in preparation to predict the NFL Champion right before the playoffs for every upcoming year!
Using NBA data and Machine Learning to find out what players “would’ve” won the award before its origination in 1983.
Using data science to analyze the country’s decision-making process in electing the next president of the United States.
A data-driven approach to forecasting election outcomes.
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