Jessica Gorr

  A Student-Athlete



and Aspiring Data Scientist




 |One-page CV|



  Contact Information
  Department of Mathemtics


  West Chester University


  West Chester, PA 19383


  Phone: 610-836-2943


  Email: jg924423@wcupa.edu



      https://github.com/jessgorr01

      https://www.linkedin.com/in/jessica-gorr-973b40192/      
























Objective

I am a student prursing an M.S. in Applied Statistics at West Chester University. Coming from a software delevopment background, I hope to share my passion for working with data to deploy insightful models and tell impactful stories!

Education

West Chester University

M.S. in Applied Statistics                                                                                 May, 2025

B.S. in Computer Science                                                                                May, 2023
- ABET Certificate in Cybersecurity

Experience

IBM

Automation Intern                                                                                May - August, 2022
- Streamlined dump management system by 30% and automated processes using JIRA and Python OOP practices.
-Implemented several test plans and coordinated testing for projects throughout the development cycle and provided accurate documentation of limiting factors in the code

Software Development Intern                                                                May-August, 2023
- Led communications between beta testing groups and enhanced the suite with improvements using various platforms such as GitHub, Linux, Slack, and PowerPoint.
- Conceptualized a new testing framework saving 4 hours per test through a technical leadership program Extreme Blue, involving aspects of Agile workflow, Design Thinking, and Product Management.
- Procured credentials such as Machine Learning Specialist, Data Fundamentals,and Data Science Foundations Lvl 2.

Course Work

1. STA 201. Statistical Methods for Political Polling.Introduction to the statistical methodology used in the analysis of data from a political survey.
2.STA 319. Applied Statistics.This course will cover simple and multiple linear regression methods and linear time series analysis with an emphasis on fitting suitable models to data and testing and evaluating models against data.

Projects/Presenations

   1. CloudChat - Chatbot and serivce targeted to answer common student questions, trained using a supervised model utilzing universities data. WEB LINK
   2.Rampoll22 - Anaylsis of participants' survey and prediction of the 2022 federal election. PDF Preprint
   3. Simple Linear Regression Presentation -HTML presentation of SLR on CA housing prices. WEB LINK
   4. Penguin Scatterplot Vizualization -R Gragph Basics. WEB LINK
   5. Penguin Scatterplot Vizualization w/ data cleanup. WEB LINK

Skills

Languages: Python, R, Java, C/C++, SQL (Postgres), JavaScript, SAS
Frameworks:React, Node.js, Flask, JUnit, WordPress, RESTAPI
Developer Tools:Git, Docker, Google Cloud Platform, VS Code,R Studio, Tableau, Jira, Visual Studio, PyCharm
Libraries:pandas, NumPy, Matplotlib, scikit-learn, ggplot