Experience

Education

MIT Sloan School of Management, Operations Research Center, Cambridge, MA Master of Business Analytics, GPA 4.9/5.0, August 2018 – August 2019

  • Dean’s Fellowship Recipient: Awarded for outstanding academic records, personal achievements, and professional promise.
  • Relevant Coursework: Machine Learning, Optimization Methods, Statistics, Interactive Data Visualization

Massachusetts Institute of Technology, Cambridge, MA Bachelor of Business Analytics, GPA: 4.4/5.0, August 2014 - June 2018

  • Relevant Coursework: Artificial Intelligence, Software Construction, Laboratory in Investments, Stochastic Models, Discrete Mathematics, Communicating with Data, Organizational Processes, Computation Structures
  • MIT Chapter of Sigma Nu (Governance Chair, Vice President, Community Service Chairman): Improved chapter performance in 9/10 areas according to a yearly evaluation; Tripled total community service hours
  • MIT American Indian Science and Engineering Society (Vice President): Facilitated outreach to American Indian freshmen and high school students through online meetups; Coordinated with campus organizations to improve opportunities for the Native American community

Work Experience

Ode Partners, Remote (Rapid City, SD) Partner, Data Science, July 2023 - Present - Creating digital products and solutions for environmental impact. - “Full Stack” Data Scientist: Sourcing, Joining, Preparing, Visualizing, and Modeling Data.

Indigigenius, Remote (Rapid City, SD)
Vice President, April 2021 - Present

  • Building and delivering the “Introduction to Python and Data Science” curriculum for the Lakota AI Code Camp.
  • Organizing and MCing the Indigenous in AI Workshops for NeurIPS.
  • Engaging in thought leadership with a focus on increasing Indigenous participation and perspectives in AI/ML (most recently at Tedx Boston: Countdown to AGI).

The Earth Genome, Remote (Rapid City, SD)
Data Science, Product, July 2022 – July 2023

  • Delivering value through various technical avenues including linear optimization, data processing, and advanced cartographical techniques.
  • Designing community-driven solutions by demonstrating the art-of-the-possible and implementing these solutions alongside our engineering team.

MFS Investment Management, Boston, MA
Senior Data Science Analyst, October 2019 – July 2022

  • Worked with cross-functional stakeholders and senior leaders to gather and synthesize data while performing analysis, delivering recommendations and designing and tracking key performance indicators.
  • Built models to describe the past and suggest optimal actions for our salespeople.
  • Furthering the data-driven culture of MFS by demonstrating proof of concepts for new ideas and areas of analytics.

MIT SLOAN / Massachusetts Bay Transportation Authority, Boston, MA
Data Science Intern, February 2019 – August 2019

  • Optimized garage placement to minimize dead-head for drivers for leaving and returning to garages with an estimated 3-5% improvement and $3M-$5M in total yearly savings.
  • Predicted trip cancellations to better understand realized, daily trip demand.
  • Combined linear programming, optimization, and machine learning for near-instant rerouting of The RIDE system.
  • Augmented a small dataset with clustering and generative models to train data-hungry algorithms.

MIT Crypto-Economics Lab, Cambridge, MA
Research Assistant, September 2017 – January 2019

  • Applied natural language processing algorithms (Topic Modeling, Sentiment Analysis) to massive amounts of text data.
  • Wrote scraping software (Python) to improve and expand the overall data set and the pipeline used to process the data.

Intel Corporation, Intel Federal, Hudson, MA
Systems Architecture Team - Graduate Technical Intern, Summer 2018

  • Created a simulation for High Performance Linpack on cutting edge computer systems to inform design decisions for new computer architectures.
  • Performed workload analysis on biologically inspired computing paradigms and presented recommendations to the senior architect for performance optimizations on commercial hardware and computer systems currently in development.

Skills

  • Skill 1
  • Skill 2
    • Sub-skill 2.1
    • Sub-skill 2.2
    • Sub-skill 2.3
  • Skill 3

Featured Talks

Teaching