Stephen Kozak 443-***-****
www.github.com/Teggom adbsly@r.postjobfree.com
Education
University of Maryland, College Park, MD August 2015 – December 2019
Bachelor of Science, Computer Science, Data Science
Bachelor of Science, Mathematics, Statistics
Skills
Languages: R, Python, SQL, MATLAB, Excel, SAS, C, Java, Ruby
Methodology Knowledge: Tidyverse, RShiny, Data Mining, Data Cleaning, Data Manipulation, Hypothesis Testing, Various Validation Techniques, PCA
Model Knowledge: Logistic Regression, Decision Trees, Random Forests, Bagging, K-NN, SVM, Kernel SVM, K-Means, Neural Networks, Linear Discriminant Analysis
Experience
University of Maryland Institute for Advance Computer Studies, College Park June 2018 – August 2019
Network Administrator
As part of a team, I helped manage a network with over 10 PB of storage and 400 servers while providing for over 80 faculty in a 1,200+ computer network environment.
Work with root level permissions on various compute clusters
Handle customer tickets and resolved issues in a timely manner
Document problem-solving processes for newly encountered problems on our internal wiki
University of Maryland, College Park August 2015 – December 2017
Research Associate and Peer Mentor - First-Year Innovative Research Experience (FIRE)
Analyzed scientific papers, formulated and developed a hypothesis with newfound data and applied the results to other research questions. Joined the Sustainability Analytics stream and began analysis of fish endangerment vs fish trade, helping to advance my professor’s research and along with a select student team, composed a paper for publication.
Wrote and compiled scripts in R to analyze more than two million pieces of data
Represented large datasets visually
Contributed to three different research papers as coauthor though my involvement in FIRE
Taught R to a new cohort of FIRE students, and readied them to use it for statistical analysis
Extra-Curricular
Developing various video games and video game assist tools using R
Designed photo editing programs, compression algorithms, web scrapers
Elected Vice President for University of Maryland Game Development Club
Developed a program that automatically detects BPM and offset in audio files, accurate to within one hundredth of a beat
Successfully presented a panel in a room of 450 people at a convention