My name is Matt Oehler. I received my bachelors degree in statistics from Brigham Young Univeristy, and now I’m working as a machine learning engineer at Progressive Leasing in Draper, Utah and I absolutely love it.

Outside of work, I do my best to lead an active life and spend time with family. Whenever possible, I like to participate in recreational leauges for basketball, soccer, ultimate frisbee, and most recently disc golf (as it is more COVID friendly than the team sports I like). Other things I enjoy include hiking, wakeboarding, learning everyday, and programmer memes.

I’m also lucky to be married to an incredible woman who supports me in all that I do.

Find me on LinkedIn

Education

Brigham Young University – College of Physical and Mathematical Sciences

  • Bachelors of Statistics
  • Minor in Mathematics

Relevant Courses

Bolded courses are graduate level

  • Modern Regression Methods (Stat 536)
  • Correlated Data Analysis (Stat 469)
  • R Programming (Stat 123/Stat 223)
  • Bayesian Statistics (Stat 151/Stat 451)
  • Linear Models (Stat 330/Stat 535)
  • Mixed Models (Stat 537)
  • Statistical Computing (Stat 624)
  • Probability Theory (Stat 240, Stat 340, Stat 641, Stat 642)
  • Applied Machine Learning (Econ 213R)
  • Deep Learning (CS 501R)
  • Data Structures (CS 235)
  • Advanced Programming Concepts (CS 240)

Relevant Projects

  • Portfolio and Publications: https://mjoehler94.github.io
  • Github Repositories: https://github.com/mjoehler94

Skills

  • Python, R/R-Shiny, SQL, Java, C++, JAGS, Git, LaTeX
  • Communication - public speaking, giving presentations, explaining project details at an executive level
  • Korean Language - speaking, reading, and writing

Experience

Progressive Leasing

Data Analyst – Data Science/Risk Ops Team

  • Develop and quantify the impact of new fraud prevention systems to mitigate financial damages from fraud
  • Designed and automated data flow to identify characteristics and behavior of fraudulent customers

Orderboard Inc.

Data Science Consultant

  • Designed and tuned classification models to identify qualified candidates for the job openings of our clients

BYU Department of Statistics

Research Assistant (Sports Statistics)

  • Created a Markov chain simulation program to study professional beach volleyball teammate configurations
  • Presented findings at 2018 Joint Statistical Meetings in Vancouver, Canada

University of Utah Health Services

Data Science Intern

  • Created a web app enabling executives to visualize disease prevalence and strategically expand care facilities
  • Merged healthcare data from multiple sources to facilitate future insight extraction and statistical modeling

BYU Department of Mathematics

Research Assistant (Data Science)

  • Implemented an SVM model to classify documents by topic to improve the MathFeeds iOS app
  • Researched and applied modern methods of natural language processing

IM Flash Technologies

Process Technician Intern

  • Created an analysis framework to calculate and assess the failure rate of tool maintenance protocols
  • Increased tool availability time of the Physical Vapor Deposition manufacturing section by 1.2%

TaxHawk Inc.

Statistical Analyst Intern

  • Modeled online customer behavior using logistic regression
  • Scheduled report deadlines and delegated team assignments to ensure timely completion of the project

Other

  • Repeat publisher on https://towardsdatascience.com