Summary
Overview
Work History
Education
Skills
Websites
Accomplishments
Timeline
Generic

ETHAN D. STRAUB

Littleton,CO

Summary

Recent graduate skilled in statistical analysis, data wrangling, and visualization. Strong ability to learn and apply advanced statistical concepts, debug code, and support data-driven decision-making. Extensive experience in R, with additional proficiency in Python, Excel, and Power BI. Demonstrated leadership and communication strengths through tutoring, teaching assistant roles, and team management. Passionate about applying statistics to research, clinical trials, and innovative analytical projects.

Overview

2
2
years of professional experience

Work History

Tutor

Colorado State University
08.2023 - 05.2024
  • Provided guidance with statistical software (Jamovi, R, Excel) and reinforced applied problem-solving skills
  • Supported students in 5 statistics courses by clarifying theory, debugging code, validating solutions, and improving statistical reasoning

Teaching Assistant

Colorado State University
08.2023 - 12.2023
  • Evaluated assignments and discussion posts, providing clear, constructive feedback to approximately 60 students.
  • Clarified misconceptions, highlighted key statistical reasoning steps, and expanded on partial answers to foster deeper understanding
  • Supported faculty by ensuring grading consistency and maintaining academic standards.

Supervisor

Durrel Center
08.2022 - 05.2023
  • Led teams of employees, managing workflows and delegating tasks to maintain efficiency and service quality
  • Anticipated demand by analyzing time constraints, product popularity, and rush hours to optimize food preparation and reduce waste

Education

M.S. - Applied Statistics

Colorado State University
Fort Collins, CO
06.2025

B.S. - Statistics

Colorado State University
Fort Collins, CO
05.2024

Skills

  • Tools: R (Script, Markdown), Python (Anaconda, Jupyter Notebooks), SAS, Power BI, Excel, Word, PowerPoint, SQL
  • R packages: stats, dplyr, ggplot2, tidyverse, Stan, rjags, lme4, nlme, XGBoost
  • Python Packages: NumPy, pandas, matplotlib, scikit-learn, tensorflow, keras
  • Skills: experimental design, data visualization, data wrangling, AB testing, ANOVA, ANCOVA, linear regression, generalized linear models, hierarchical models, multivariate linear models, a variety of parametric and non-parametric tests, AR, MA, and ARIMA models, state-space models, hidden markov models, bootstrapping, simulation, monte carlo integration, principal component analysis, gibbs sampling, metropolis hastings sampling, bayesian imputation, bayesian analysis, K-means and hierarchical clustering, support vector machines, random forests, XGBoost, neural networks, collaboration and teamwork, problem solving skills

Websites

Accomplishments

    SOA Exams: Exam P

Timeline

Tutor

Colorado State University
08.2023 - 05.2024

Teaching Assistant

Colorado State University
08.2023 - 12.2023

Supervisor

Durrel Center
08.2022 - 05.2023

M.S. - Applied Statistics

Colorado State University

B.S. - Statistics

Colorado State University

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