Background
Experience
I went to MIT, grew up on the Rosebud Reservation, and have spent the last eight years turning data into tools that actually help people, from optimizing transit routes in Boston to teaching AI to Lakota youth.
Education
MIT Sloan School of Management
Master of Business Analytics
Operations Research Center
- Dean's Fellowship Recipient: Awarded for outstanding academic records, personal achievements, and professional promise.
- Coursework: Machine Learning, Optimization Methods, Statistics, Interactive Data Visualization
Massachusetts Institute of Technology
Bachelor of Business Analytics
- Coursework: Artificial Intelligence, Software Construction, Laboratory in Investments, Stochastic Models, Discrete Mathematics, Communicating with Data, Computation Structures
- MIT Chapter of Sigma Nu (Governance Chair, Vice President, Community Service Chairman): Improved chapter performance in 9/10 areas; tripled total community service hours
- MIT American Indian Science and Engineering Society (Vice President): Facilitated outreach to American Indian freshmen and high school students; coordinated with campus organizations for the Native American community
Work Experience
Ode Partners
Partner, Data Science
Remote (Rapid City, SD)
- Creating digital products and solutions for environmental impact.
- "Full Stack" Data Scientist: Sourcing, Joining, Preparing, Visualizing, and Modeling Data.
IndigiGenius
Vice President
Remote (Rapid City, SD)
- 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
Data Science, Product
Remote (Rapid City, SD)
- Delivering value through linear optimization, data processing, and advanced cartographical techniques.
- Designing community-driven solutions by demonstrating the art-of-the-possible and implementing alongside the engineering team.
MFS Investment Management
Senior Data Science Analyst
Boston, MA
- Worked with cross-functional stakeholders and senior leaders to gather and synthesize data while performing analysis and delivering recommendations.
- Built models to describe the past and suggest optimal actions for salespeople.
- Furthering the data-driven culture of MFS by demonstrating proof of concepts for new analytics ideas.
MIT Sloan / MBTA
Data Science Intern
Boston, MA
- Optimized garage placement to minimize dead-head for drivers 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.
MIT Crypto-Economics Lab
Research Assistant
Cambridge, MA
- Applied natural language processing algorithms (Topic Modeling, Sentiment Analysis) to massive amounts of text data.
- Wrote scraping software (Python) to improve and expand the data pipeline.
Intel Corporation, Intel Federal
Systems Architecture Team – Graduate Technical Intern
Hudson, MA
- Created a simulation for High Performance Linpack on cutting-edge computer systems to inform design decisions for new architectures.
- Performed workload analysis on biologically inspired computing paradigms and presented recommendations to the senior architect.