Technical Skills

Extensive experience working with Excel and database software for personal projects

Project-based courses, using Excel and Spark for data analysis, big and small

Substantial project integrating Google Sheets, Microsoft Access, and other applications to create a user-friendly, dynamic inventory system for high school theater department

Series of project-based software development courses, using Java to build, document, and test classes according to given client requirements and best practices (style, CI, version control,...)

Hands on experience with many object oriented programming design patterns, including model-view-controller, singleton, polymorphism, composition, and delegation

Multiple projects writing custom software solutions for clients' personal applications

Self-taught use of Tableau and Power BI to produce dashboards for data science projects in challenges, competitions, and activities

Duke Center for Data Visualization Services workshop training on Tableau

Project-based experience using Python libraries, R packages, and SAS features for visualizations

Extensive experience teaching and debugging Python programs and Jupyter notebooks and environments, hosting office hours for the NCSU Data Science Academy

Series of project-based courses using python for topical data science applications, including data wrangling, web scraping (BS4), natural language processing (NLTK), and more

Project-based course on Python techniques and libraries for statistical programming

Extensive experience teaching and debugging R programs, markdown files, and RStudio environments, hosting office hours for the NCSU Data Science Academy

Series of project-based courses using R for topical data science applications, including predictive analytics, data simulation, and more

Application of R for statistical analysis through coursework, including probability and distribution theory and regression analysis

Practical course on R techniques and packages for statistical programming

Project-based course on best practices for data management, using SAS to process, validate, analyze, and generate relevant reports, qualifying for Base SAS Certification Exam

Project-based course on SAS for data manipulation and basic analysis

Application of SAS for statistical analysis and graphical representation in coursework, including probability and distribution theory