Welcome!
Welcome to my Data Science Portfolio, where the language of data unfolds into captivating stories of insights and innovation.



Truman State University
Bachelor of Science in Statistics
2019-2023
Education
R Data Visualization
Python Statistical Analysis
SQL Cluster Analysis
C++ Neural Networks
RShiny Time Series Analysis
MiniTab Predictive Modeling
PowerBI Linear Regression
Microsoft Excel Machine Learning
Data Translation CART Modeling
Data Cleaning & Analytics ANOVA
ImageRight Underwriting
Cloud based Content and Claims Management
Teams Jupyter Notebooks
Google Analytics Ms. Access
Outlook LaTeX
Technical Skills














My team explored how various variables affected students' connections across campus using R, Minitab, and Google Sheets. We then presented our findings to our client Mr. Jonathan Viewer, the Director of Student Retention and Success at Truman State University using Google Slides.
I performed a Principal Component Analysis on a combined data set of prices, market cap, and volume of Dogecoin and ShibaINU over time to better understand what variables contribute the most to the variance in the data.
My team created a database of inventory for an imaginary store using MySQL and illustrated a Relational Model Diagram about the database in the classroom.
Projects
I presented a lie as a fact using convincing evidence and then a truth paper clarifying how I lied in the earlier paper. Both were supported by statistical visualizations and tests performed using R and Minitab.
I analyzed daily MSFT stock data with open, low, close, adj close prices and volume of the stock traded over a given period as predictors. I then developed a predictive model for future MSFT High Prices.
My team implemented a staged coding approach, starting with static graph versions and gradually incorporating interactivity using tools such as Shiny, plotly, leaflet, and tmap to explore the data on Forcibly Displaced People over the years and present that in a Shiny App.
Ready to embark on a data-driven journey, explore potential collaborations, or discuss exciting job opportunities in the realm of data science? I'd love to connect! Whether you have questions, project ideas, or career inquiries, feel free to reach out. Your inquiries are valued, and I look forward to the opportunity to engage in meaningful conversations. Let's transform ideas into actionable insights together—simply drop me a message, and let's get the conversation started!