- Write ETL scripts in R and SQL to meet daily demands of various requests for specific insights and samples fromthe national voter database- Generate modeling reports of public opinion, voting behavior, media usage, and other politically relevant views- Debug, restructure, and develop internal R packages and libraries

Data Science Major | Computer Science Minor | Mathematics Minor (3.9 GPA)

• Tutor students one-on-one to help with preparation for graduate-level studies as well as the SOA Exam P• Lead class sections in the professor’s absence

Intermountain Healthcare• Analyze data from JIRA (Scrum task-manager) for 28 different analytics teams at IHC using pandas and altair• Attempt to identify overlapping of work between teams and summarize current and past tasks/projects usinggensim topic-modeling of thousands of unstructured text entires Good 2 Go• Work with CFO to identify prospective plots of land to be purchased for new gas station locations• Write batch ETL processing scripts in R and Python to consolidate data from various sources including internal company records, Data Axel, MapBox, government AADT counts, and American • • • Consumer Survey/Census. Explore gasoline sale correlations using linear regression in R and machine learning in sci-kit learn (python) Build final reports using ggplot2, R-Markdown HTML files, and PowerBI

- Build a relational data base for the ongoing storage and updating of records for all new product development in the Advanced Solutions Group- Develop employee/user interface using MSPowerApps for the updating and recording of project details in the corresponding database as well as implement user authentication to assure data security- Develop RShiny web application to visualize the Onsemi global manufacturing footprint with geo-spacial data- Build R/tidyverse programming overview/bootcamp to help long-time employees retool

• Oversee and ensure the success and progress of all Data Science Society Projects • Assist in the organization and marketing of the BYU-Idaho/Ensign College Analytics Career Fair• Motivate and incite passion and excitement for the Data Science field on campus, reflected by increased attendance at Data Science Society

- Lead and assisted students with Data Science Programming course in Python- Lead and assisted students with Data Wrangling and Visualization course in R

-Gathered insights from data collected by the store’s sales software-Lead a team of about 8 student data scientists; including delegating tasks, identifying meaningful and insightful questions in the data for the team to answer-Maintained good, consistent communication with the business owner on behalf of the team

- Used Machine Learning to attempt to identify ideal customers and ideal buying conditions- RBDC Student Data Science Group

- Earned the company an estimated $300,000 in total revenue from sales - Generated around 60 leads through door to door contacts- Learned the ins and outs of the sales process- Learned how customers think, and what may lead them to make a purchase