Work Experience

Senior Data Analyst, Bank of America
June 2018 - Present

• Team lead for Treasury Products team within Treasury Data Management
• Help maintain accurate and complete databases by improving data sourcing and implementing data quality controls
• Use SQL to investigate potential data gaps and determine optimal solutions
• Assist in reduction of risk through automation of scheduled reports using Oracle Sql tools
• Coordinate business partners’ data needs with technology team and assist in delivery of necessary data attributes
• Work with international teams to ensure compliance with financial regulations across multiple countries of operation

Data Science Consultant
October 2019 - Present

• Part-time data science consulting for two healthcare companies
• Maintain ETL processing of medical records using Microsoft SQL Server tool suite
• Perform medical phenotyping using algorithms in R
• Model future insurance costs using machine learning in python and R.

Head of Reporting and Analytics, ActiveCare
June 2016 - June 2018

• Managed small team in charge of company reports, dashboard, and various data projects
• Led team in creation of projects and plans to help company meet objectives
• Created and presented business intelligence analyses for company management
• Ran internal research on medical and pharmacy claims using statistical modeling / machine learning
• Built automated customer reports using the Microsoft SQL Server tool suite

Statistician / Data Analyst, Brigham Young University Harold B. Lee Library
April 2015 - June 2016

• Head statistician on large salary equity study for the Association of Research Libraries
• Co-author on two published research papers, and contributor on other papers nearing completion
• Cleaned and analyzed large data set using a variety of statistical methods
• Prepared thorough customized reports for 45 of the largest academic libraries in North America
• Promoted from student research assistant to end position

Education

Georgia Institute of Technology
Master’s in Analytics (Computational Data Analytics Track)

• Expected Graduation: August 2022
• Relevant Courses: Big Data Analytics in Healthcare, Machine Learning / Computational Data Analytics, Computing For Data Analytics, Analytics Modeling

Brigham Young University
Bachelor of Science in Statistics

• Emphasis: Statistical Sciences
• Minors: Mathematics, Business Management
• Relevant Courses: Bayesian Reliability, Theory of Analysis, Regression, Quality Control and Industrial Statistics, Communication of Statistical Results

Skills and Achievements

Software: Python, R, SQL, Git, Linux Skills: Database design, web scraping, text mining, data visualization, machine learning, statistical modeling, communication to technical / general audiences
Scholarships / Awards: Academic achievement scholarship at BYU, Undergraduate recognition award in mathematics