Hello! My name is Kya Carroll, and I hold a Master of Science in Sports Science from the University of Pittsburgh. I also hold a Bachelor of Arts in Health Sciences, with distinction, and a minor in Psychology from Hendrix College, where I was consistently recognized on the Dean’s List.
I am passionate about enhancing athletic performance, optimizing training programs, and applying sports science principles in practical settings. I am deeply committed to advancing my expertise in strength and conditioning, exercise physiology, and sports nutrition.
I was a dedicated athlete in college sports, having competed as a thrower for Hendrix College Track and Field, where I earned a letter and made the Southern Athletic Association (SAA) Academic Honor Roll.
Feel free to explore my projects in the repository, and feel free to reach out to me if you have any questions or would like to discuss collaboration opportunities.
These materials were developed as part of my role as a Teaching Assistant for REHSCI 1215 Exercise Physiology. Topics include periodization, overtraining, tapering, and detraining. Special thanks to Dr. Sean Crandell for his guidance and support during these lectures.
Another core lecture series I led, focusing on macronutrient intake, hydration, and their effects on athletic performance. This series was also made possible with the mentorship of Dr. Sean Crandell.
A comprehensive strength and conditioning program tailored for the UNLV Women’s Basketball team to maintain peak performance during the season.
A collaborative presentation developed alongside Dr. Michelle Van Dyke, showcasing preseason strength and conditioning progress for Pitt Women’s Basketball.
This section highlights key performance reports, dashboards, and presentations that I have developed to analyze athlete data, monitor wellness, and assess training effectiveness. These tools were created using Power BI and Excel, combining both data visualization skills and applied sports science knowledge.
A sample player performance dashboard developed to visualize individual athlete data, including wellness trends, workload, and key performance metrics. This dashboard serves as a template for monitoring player readiness and adjusting training loads accordingly.(Built with Power BI)
Download Example Player Dashboard
This dashboard tracks self-reported athlete wellness data, including sleep, soreness, stress, and overall well-being. The dashboard helps sports science staff identify trends and proactively adjust training plans to optimize recovery and performance. (Built with Power BI)
This Load Monitoring Progression Plan was developed to safely integrate a return-to-play athlete into in-season practice within a three-week timeframe. The structured progression focuses on gradual workload increases, ensuring the athlete meets performance benchmarks while minimizing injury risk.
This plan was implemented at the University of Pittsburgh Women’s Basketball Team as part of their strength & conditioning and sports science protocols.
Download Load Monitoring Progression Plan (RTP) - Pitt WBB
This dashboard was built to profile para-athletes’ loaded broad jumps utilizing the 1080 Sprint. Since traditional sprint profiling is not applicable for these athletes, the broad jump served as a practical and inclusive method to assess horizontal force production under load. The goal was to better understand how each athlete generates and transfers force horizontally, providing insights to guide programming for tasks like change of direction, propulsion, and other movement strategies relevant to their sport.
Download Load-Velocity Broad Jump Profiling Dashboard
This dashboard was developed to monitor daily neuromuscular fatigue in snowboard athletes using countermovement jump (CMJ) data. Key metrics are compared against individual baselines using coefficient of variation (CV) thresholds. Meaningful changes—highlighted with directional flags—are automatically identified when daily deviations exceed the athlete’s normal variability. This allows for quick interpretation of fatigue status and supports informed return-to-snow and training decisions.
Download Load-Velocity Broad Jump Profiling Dashboard
This slide deck summarizes strength lab testing conducted during my time at the University of Pittsburgh. The report includes data collection methods, interpretation of force plate data, and applied recommendations for athlete programming based on individual strength profiles.
This slide deck serves as an example of my applied framework for performance science. It highlights how I integrate data collection, performance analysis, and evidence-based recommendations into real-world training environments. In a Women’s Basketball context.
Download Performance Science Slide Deck
This slide deck serves as an example of my applied framework for performance science. It highlights how I integrate data collection, performance analysis, and evidence-based recommendations into real-world training environments. In a snowboarding context.
This is a manual containting workflows and education of the various sports science related resouces implemented and utilized by the University of Pitssburguh’s Women’s Basketball Team.
My research explores leptin regulation and metabolic changes in offspring. These findings were presented at the Central Arkansas Undergraduate Research Symposium.
Explored associations between waveform patterns and kinetic variables to enhance the utility of athlete profiling in performance and return-to-play contexts.
View my complete professional background, including certifications and skills.