About Me

Jenna Worthen

Get to know me

I love to play sports, paint, and do wedding makeup and hair.
From Houston, Texas

Education

Statistics: Data Science - Brigham Young University, 2026
Relevant Coursework: Statistical Modeling, Data Visualization, Data Wrangling, Bayesian Statistics, Predictive Analytics, Machine Learning, Data Science Ecosystems, Analysis of Correlated Data, Computer Science and Data Structures

Background

NFL Big Data Bowl 2026 Mentee
- Met with advisors from the NFL biweekly
- Prepared predictive analytic competition submission in R (current project so more information to come)
University of Utah Athletics Project:
- Built an R Shiny dashboard to visualize longitudinal strength data for coaches
- Applied mixed models and integrated athlete monitoring tools (VALD, CATAPULT)
- Delivered weekly presentations to stakeholders and mentors
Golf Analytics Research at BYU:
- Georeferenced maps and indivdual data points in ARCGIS
- Estimated strokes-to-hole from any course location using ArcGIS and advanced statistical modeling
- Quantified uncertainty in predictions and visualized spatial variability in R
Teaching & Mentorship:
- Developed Python-based learning modules for engineering and science students
- TA for multiple statistics courses, supporting students in labs and lectures
Languages: Fluent in English and Spanish

Skills & Interests

Technical Skills

Programming: Python, R, SQL, HTML, Linux
Data Analysis: Pandas, NumPy, DataExplorer, Dplyr, Tidyr, Corrplot
Visualization: Matplotlib, Seaborn, Ggplot2, Leaflet, Plotly
Predictive Analytics: Regression Trees, BART, Random Forest, Penalized Linear and Logistic Regression, Stacked Ensembles
Machine Learning: Scikit-learn, Tidy-Models, Keras, TensorFlow
Tools: Jupyter Notebooks, Git/GitHub, Tableau, ArcGIS

Areas of Interest

Sports (Knowledge of Game Rules and Regulations: Rugby, Volleyball, Football, Tennis, Golf)
Energy Systems and Consumption
Humanitarian Aid
Crime Analysis

Contact

Email: worthenj.281@gmail.com
GitHub: github.com/cottinjenn
LinkedIn: linkedin.com/in/jenna-worthen-b9a8b2299

This portfolio showcases my learning progress and projects completed during my data science studies.

--- title: "About Me" format: html: css: styles.css --- <div style="float: right; margin: 15px 0 20px 30px; width: 230px; max-width: 42vw;"> <img src="JWorthen_Headshot.jpg" alt="Jenna Worthen" style="width: 100%; height: auto; border-radius: 14px; box-shadow: 0 6px 16px rgba(0,0,0,0.12);"> </div> ## Get to know me - I love to play sports, paint, and do wedding makeup and hair. - From Houston, Texas ## Education - **Statistics: Data Science** - Brigham Young University, 2026 - **Relevant Coursework**: Statistical Modeling, Data Visualization, Data Wrangling, Bayesian Statistics, Predictive Analytics, Machine Learning, Data Science Ecosystems, Analysis of Correlated Data, Computer Science and Data Structures ## Background - **NFL Big Data Bowl 2026 Mentee** - Met with advisors from the NFL biweekly - Prepared predictive analytic competition submission in R (current project so more information to come) - **University of Utah Athletics Project:** - Built an R Shiny dashboard to visualize longitudinal strength data for coaches - Applied mixed models and integrated athlete monitoring tools (VALD, CATAPULT) - Delivered weekly presentations to stakeholders and mentors - **Golf Analytics Research at BYU:** - Georeferenced maps and indivdual data points in ARCGIS - Estimated strokes-to-hole from any course location using ArcGIS and advanced statistical modeling - Quantified uncertainty in predictions and visualized spatial variability in R - **Teaching & Mentorship:** - Developed Python-based learning modules for engineering and science students - TA for multiple statistics courses, supporting students in labs and lectures - **Languages:** Fluent in English and Spanish ## Skills & Interests ### Technical Skills - **Programming**: Python, R, SQL, HTML, Linux - **Data Analysis**: Pandas, NumPy, DataExplorer, Dplyr, Tidyr, Corrplot - **Visualization**: Matplotlib, Seaborn, Ggplot2, Leaflet, Plotly - **Predictive Analytics**: Regression Trees, BART, Random Forest, Penalized Linear and Logistic Regression, Stacked Ensembles - **Machine Learning**: Scikit-learn, Tidy-Models, Keras, TensorFlow - **Tools**: Jupyter Notebooks, Git/GitHub, Tableau, ArcGIS ### Areas of Interest - Sports (Knowledge of Game Rules and Regulations: Rugby, Volleyball, Football, Tennis, Golf) - Energy Systems and Consumption - Humanitarian Aid - Crime Analysis ## Contact - **Email**: worthenj.281@gmail.com - **GitHub**: [github.com/cottinjenn](https://github.com/cottonjenn) - **LinkedIn**: [linkedin.com/in/jenna-worthen-b9a8b2299](https://www.linkedin.com/in/jenna-worthen-b9a8b2299/) --- *This portfolio showcases my learning progress and projects completed during my data science studies.*