Stephen Beecher

sbeecher0575@gmail.com | Tucson, Arizona

Learn About Me!

Education

BS Statistics and Data Science, University of Arizona

  • May 2021
  • Summa cum Laude
  • College of Science Highest Academic Distinction

BA Psychology, University of Arizona

  • May 2021
  • Summa cum Laude

MS Statistics and Data Science, University of Arizona

  • Expected May 2022

Work Experience

Tutor & Executive Board Member, University of Arizona

  • Tutor calculus I, II, III, statistics, computer science, physics, and psychology courses
  • Designed the Student-Worker employee database
  • Organize and manage the C.A.T.S. Academics Slack workspace
  • Manage drop-in "Math Content Lab", including expansion and tutoring

Decision Science Analyst, USAA

  • Design statistical tests and analysis to answer business questions
  • Present and write reports discussing the results of the analyses
  • Provide statistical consulting help to stakeholders

Projects

American National Election Study (2016, 2020) survey analysis

  • Implemented machine learning algorithms such as LASSO, Random forest, LDA, and others in R to address various topics
  • Compared voting patterns from people of different racial and socioeconomic status
  • Presented findings in report and presentation with data visualization

Larval Growth in Dry Wells in Phoenix, AZ

  • Provided statistical consulting help on PhD dissertation statistical analysis
  • Used a linear mixed model on experiment data results
  • Presented findings in report, with explained model and SAS implementation

Vaccination rates in Mali, Minetti et al. (2012)

  • Designed a new analysis of cluster sampling scheme to estimate vaccination rates
  • Explored Bayesian hierarchical models and parameter estimation

Homelessness in the United States

  • Combined data from the US Census Bureau, Dept. of Housing and Urban Development, and Bureau of Economic Analysis
  • Implemented machine learning algorithms such as LASSO and Random Forest to associate variables from all these areas with homelessness levels
  • Presented findings in report and presentation with graphical visualization (including maps)

Skills

Programming

  • R
  • Python
  • SAS
  • HTML/Javascript

Software

  • ArcGIS
  • Microsoft Access/Excel
  • Adobe Acrobat & Photoshop

Statistics

  • Bayesian Statistics
  • Probability Theory
  • Linear Modeling
  • Statistical consulting

Data Science

Psychology

  • Political, Social, and Economic Psychology in the United States
  • Familiarity with DSM-V