Timothy Kelleman

OBJECTIVE

Current Master of Science in Applied Statistics student looking to further develop skills in statistical analysis, mathematical modeling using R and SAS.

EDUCATION

• West Chester University of Pennsylvania - West Chester, PA
• Master of Science in Applied Statistics - Anticipated May

• The Pennsylvania State University - University Park, PA
• Master of Education in Curriculum and Instruction – Science Education Emphasis - May 2018
• Completion of Post-Baccalaureate Teacher Certification Program

• The Pennsylvania State University - University Park, PA
• Bachelor of Science in Biology – Plant Option - May 2012

WORK EXPERIENCE

High School Science Teacher - Worton, MD

Kent County High School - 2013-Current

• Developed curriculum for Biology, AP Environmental Science, and Physical Science classes in accordance with the Next Generation Science Standards
• Organized service-learning experiences at the Eastern Shore Wildlife Conservancy demonstrating the benefits that riparian buffers and wildlife expansion have on watersheds and the Chesapeake Bay
• Member of the Maryland Integrated Science Assessment Review Committee to analyze and evaluate the new state science standardized assessment created by the Maryland Department of Education prior to its implementation in classrooms
• Demonstrated skills in communication, training and development, problem solving, strategic planning, and teamwork

COURSE WORK

• Introduction to R Programming (Fall 2020)
• Mathematical Statistics I (Fall 2020)
• Introduction to Statistical Computing, SAS (Fall 2020)
• Mathematical Statistics II (Spring 2021)
• Principles of Experimental Statistics, SAS (Spring 2021)

PROJECTS/PRESENTATIONS

Will be updated with projects from this course as we complete assignments...

1. Week 2 - HTML Presentation
2. Week 3 - Penguin Data Set
3. Week 4 - Penguin Data Set Visualization
4. Week 5 - GGPLOT Revisited
5. Week 6 - Interactive Plot with plotly
6. Week 7 - R Maps for Visualizing Spation Information
7. Week 8 - More R Maps and Case Study
8. Week 9 - Interactive Visualization with Tableau
9. Week 10 - Tableau Dashboards
10. Week 11 - Getting Started with R Shiny
11. Week 12 - Data Analysis with R Shiny Apps
12. Week 13 - R Shiny Flashboard
13. Week 15 - Final Project

SKILLS

• R: Using RStudio, programmed for loops, if then statements, function construction, internal packages, read/write data files, RMarkdown, used ggplot2 within Tidyverse for scatter, boxplot, and histogram figures
• SAS: Managed and transformed various types of data, produced and interpreted descriptive reports and graphics, applied basic statistical procedures, created macros, and converted file types using ODS