NBA Player Performance Analysis
Explores factors associated with NBA scoring performance using exploratory data analysis, visualization, and multiple linear regression.
View Project →STATISTICS • DATA SCIENCE • ANALYTICS
M.S. Statistics student at American University with a background in Family Science and experience in data analysis, research administration, teaching, and applied analytics.
I am building a career at the intersection of statistics, data science, teaching, and real-world problem solving.
CURRENTLY
American University · Expected May 2027
American University · STAT-202: Basic Statistics
Building projects in statistics, data science, sports analytics, and applied analysis.
Continuing to strengthen my mathematics and statistical foundation.
ABOUT
My academic background began in Family Science at the University of Maryland, where I earned a B.S. in Family Science with a minor in Humanities, Health & Medicine.
I am now pursuing an M.S. in Statistics at American University, where I am developing my foundation in statistical methods, regression, statistical machine learning, data science, and statistical programming.
My professional experience includes community services, research administration, quality assurance, regulatory compliance, and collaboration with multidisciplinary teams.
I am particularly interested in using statistics and data science to investigate real-world questions and communicate findings clearly. I am also continuing to develop my teaching experience and am interested in teaching introductory and foundational statistics at the collegiate level.
PROJECTS
My completed projects in applied statistics and sports analytics. I plan to revisit and strengthen these analyses as my statistical training develops.
Explores factors associated with NBA scoring performance using exploratory data analysis, visualization, and multiple linear regression.
View Project →Explores relationships between NBA injury frequency, player characteristics, performance, and workload using statistical modeling.
View Project →Uses NBA player statistics and performance metrics to explore the factors associated with All-Star selection through statistical analysis and machine learning.
View Project →TEACHING
Aug. 2026–Present
American University · STAT 202: Basic Statisitcs
Support course instruction through instructional materials, tutorials/workshops or lab sessions, individualized academic guidance, assessment feedback, and confidential course records.
Aug. 2024–May 2025
University of Maryland · FMSC 310: Maternal, Child and Family Health
Facilitated review sessions, supported student understanding of coursework, assisted with course materials, and provided individualized academic support.
Teaching interests: Introductory and foundational statistics at the collegiate level. I am interested in pursuing opportunities for part-time adjunct instruction.
COURSEWORK
Selected completed, in-progress, and planned coursework across statistics, data science, and mathematics.
American University
Completed
Future Preparation
CV / RESUME
View my current two-page resume for my education, professional experience, teaching experience, projects, technical skills, certifications, and professional activities.