Mitchell Joseph

Mitchell Joseph

Data Scientist

Vespers Capital, LLC

About me

I help organizations understand and leverage their quantitative information. Call it what you will: data science, machine learning, or statistics; the modern technological world lies at the intersection of mathematics and computing, and that’s where I like to play.

I’ve worked with stage 1 start-ups and venture capital funds, building models, establishing codebases, and providing mathematical expertise to developers. I mainly use R, but have experience in Python and SQL.

I have a bachelors degree in Mathematics from St. Lawrence University, where I did my thesis on the Erdos-Faber-Lovasz conjecture. After spending some time pursuing other interests1, I began working at a young startup where I got introduced to a range of topics in statistics and data analytics. I was primarily focused on using survival analysis to help predict customer churn, but I’m constantly trying to develop and learn new skills. I’m currently pursuing a masters degree in Complex Systems and Data Science from the University of Vermont. At UVM I work in the OCEAN lab studying open source communities advised by Jim Bagrow. For more details, check out my portfolio, or take a look at my resume.

I currently reside in South Burlington, VT.

  1. After graduating from St. Lawrence, I traveled out west in attempts to become a professional rock climber, spending most of my time in Squamish, BC and Bishop, CA. ↩︎


  • Public Policy
  • Natural Language Processing
  • Cooking
  • Biking


  • MS in Complex Systems and Data Science, 2023

    University of Vermmont

  • BS in Mathematics, 2015

    St. Lawrence University







Masters Student

University of Vermont

Sep 2021 – Present Vermont
First year masters student at the Unviersity of Vermont in Complex Systems and Data Science. Hoping to develop novel uses of natural language processisng to modernize the way we currently draft and propose legislation.

  • Python
  • Natural language processing
  • Machine Learning

Data Scientist

Vespers Capital, LLC

Dec 2018 – Dec 2020 New York
Use R and Amazon AWS to apply survival analysis and create advanced predictive models of customer churn. Responsibilities include:

  • Feature engineering
  • Data preprocessing
  • Modeling

Independent Contractor

Closed Loop Ventures

Aug 2017 – Present New York
Create dynamic models to help managing directors better understand early stage companies. Responsibilities include:

  • Industry research
  • Forecasting
  • Analytics

Assistant Director

Peterson Quantitative Resource Center

Jul 2016 – May 2018 New York
Responsibilities include:

  • Supervised day-to-day workflow of center
  • Oversaw public outreach committies and project teams
  • Developed new interactive models for students, faculty, and staff

Recent Posts

Monty Hall - A bayesian approach

I remember watching the movie 21 growing up and being completely stunned by one of the opening scenes. The protagonist, Ben, is given a problem - the gameshow problem as they call it in the movie.

Chapter 5 Notes

Statistical Rethinking chapter 5 notes

Chapter 4 Problem Set

Statistical Rethinking chapter 4 exercises

Chapter 4 notes

Statistical Rethinking chapter 4 notes

Chapter 3 Problem Set

Statistical Rethinking chapter 3 exercises