Professional Summary
A skilled presented, with 3 years of experience presenting and creating educational presentations. A very organized and diligent worker, with experience in working on research projects for a nonprofit organization.
Work Experience
The Center for Trans and Queer Advocacy, West Chester, PA
Graduate Assistant, June 2025 - Present
- Mentored new Peer Educators, ensuring they understood policies and procedures effectively.
- Analyzed data from the HOPE survey to address food and housing insecurity among LGBTQ+ students.
- Managed social media scheduling to enhance engagement and reach within the community.
Peer Educator - Quantitative Research and Community Engagement Lead, August 2022 - May 2025
- Developed original social events for the LGBTQ+ student body at West Chester University, fostering community engagement.
- Spearheaded the inaugural "Out In STEM Mixer," connecting LGBTQ+ students with professors to enhance professional relationships.
- Created and facilitated the first educational training on the Asexual and Aromantic spectrum, promoting awareness and inclusivity.
Marketing & Events Associate, September 2025 - Present
- Drafted and distributed contracts for clients, ensuring clarity and compliance for their events.
- Created engaging monthly newsletters to maintain client relationships and enhance communication.
- Assisted with day-of event coordination, addressing client needs and resolving technical challenges promptly.
- Generated sales reports to keep the team informed about company progress throughout the year.
Sales & Event Intern, May 2024 - September 2025
- Assisted clients by responding to inquiries about event space and services, enhancing customer satisfaction.
- Developed engaging marketing materials for social media to boost visibility and attract potential clients.
- Designed social media content and marketing materials that better aligned with our branding, including a marketing packet and newsletter.
- Created exclusive newsletters to encourage repeat business and attract new clients, fostering client relationships.
Education
West Chester University, May 2025 - May 2026
Masters of Science in Applied Statistics - Data Science Concentration
West Chester University, August 2021 - May 2025
Bachelors of Science in Mathematics - Statistics Concentraion
Minor in Digital Marketing
Publications & Research
Partook in an invitation only independent study in the Spring 2024 semester with the Jewish Relief Agencey, a nonprofit organization based in Philadelphia. The independent study concluded with a poster submission to the College of Science and Mathematics Poster Day, the poster was approved by the advisor of the independent study, Professor Pyott.
Projects & Portfolio
1. Formal Report on Melbourne Housing Data Regression Modeling and Cross Validation.
2. Formal Report on PCA Clustering, with LOF on Binary Models for Breast Cancer Data.
3. Formal Report on Supurvised Programing for Customer Churn.
4. Formal Presentation on Supurvised Programming for Customer Churn.
Skills & Expertise
Programming Languages: R & R Studio, SAS, Python, SPSS, HTML/CSSResearch & Analysis Skills: Statistical Analysis, Data Visualization, Data Cleaning, Survey Design, Quantitative Research Methods, Qualitative Research Methods
Software & Tools: GitHub, Qualtrics, Canva, Brevo, Tripleseat, Microsoft Office Suite.
Course Work
STA 553 - Data VisualizationThis course focuses on the principles of data visualization and addresses questions about what, why, and how to visualize. Topics include visualization design elements such as colors, shapes, and movements, etc.; data exploratory visualization; statistical graphics and model visualization; process visualization; dashboard design; and the ethics of data visualization. The course will also introduce some commonly used visualization tools.
STA 536 - Data Mining
The purpose of this course is to give you an introduction to many of the modern techniques that are used to analyze a wide array of data sets. We will be applying these methods using the statistical programming language R.
STA 534 - Time Series
This class focused on the characteristics inherent in such processes such as repetitive cycles and deteriorating dependence.
STA 514 - Modern Experimental Design
Focusing on recent journal articles, this course will investigate issues associated with design of various studies and experiments. Pharmaceutical clinical trials, case-controlled studies, cohort studies, survey design, bias, causality and other topics.
STA 513 - Intermediate Linear Models
Rigorous mathematical and computational treatment of linear models.
STA 512 - Principles of Experimental Analysis
This course provided technology-driven introduction to regression and other common statistical multivariable modeling techniques. Emphasis on interdisciplinary actions.
STA 511 - Intro Stat Computing and Data Management
This course teaches the ability to effectively manage and manipulate data, conduct statistical analysis and generate reports and graphics, primarily using the SAS Statistical Software package.
STA 506 - Mathematical Statistics II
Continuation of STA 505. Correlation, sampling, tests of significance, analysis of variance, and other topics.
STA 505 - Mathematical Statics
A rigorous treatment of probability spaces and an introduction to the estimation of parameters.
STA 503 - Introduction to R
An introductory course in R programming. The major topics include setting up Rstudio, R data objects, data input/output, built-in and user-defined R functions, control statement and looping, basic R plot functions, commonly used R libraries, and R markdown.
STA 502 - Introduction to Python for Statistics and Data Science
In this course, students learned to install Python and Jupyter Notebook, basic syntax, data input/output, control flows, data visualization and manipulation, along with basic descriptive statistics and statistical tests. They will also learn how to use some common libraries such as NumPy, Pandas and Maplotlib. This course will focus more on using Python as a tool for Statistics and Data Science rather than the intricacies of using an object-oriented programming language.
STA 490 - Capstone Course in Statistics
Course synthesized lessons learned throughout the students career with the goal of preparing students for work as professional statisticians. Topics included report writing, presentations, statistical consulting, sampling design, and resume writing.
STA 419 - Basics of Statistical Learning
This course provided an introduction to statistical learning and predictive modeling. Tools will be developed for visualizing and understanding complex data sets. All data analysis will be done using the statistical programming language R.
STA 321 - Topics in Advanced Statistics
Course covered select topics in categorical analysis, nonparametrics and time series analysis. Emphasis will be placed on statistical programming, particularly simulations.
STA 320 - Experimental Design
This course guided students in learning how to design, conduct and analyze the results of scientific studies so that valid and objective inferences about the population are obtained. It will cover ANOVAs, block, factorial, and split plot designs, as well as response surface analysis.
STA 311 - Intro Statistical Computing and Data Management
Course gave students the ability to manage and manipulate data effectively, conduct basic statistical analysis, and generate reports and graphics primarily using the SAS Statistical Software Program.