From dc65accf8be3d335ce307f3d9816d21a84d68e15 Mon Sep 17 00:00:00 2001 From: Mason Grimshaw Date: Tue, 5 Dec 2023 08:53:28 -0700 Subject: [PATCH] Edited Experience Page --- _data/navigation.yml | 12 +++---- _pages/experience.md | 86 ++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 92 insertions(+), 6 deletions(-) create mode 100644 _pages/experience.md diff --git a/_data/navigation.yml b/_data/navigation.yml index 4997490d2fbd..1ec902a8ca20 100644 --- a/_data/navigation.yml +++ b/_data/navigation.yml @@ -1,7 +1,7 @@ # main links links main: - - title: "Publications" - url: /publications/ + - title: "IndigiGenius" + url: /indigigenius/ - title: "Talks" url: /talks/ @@ -15,8 +15,8 @@ main: - title: "Blog Posts" url: /year-archive/ - - title: "CV" - url: /cv/ + - title: "Experience" + url: /experience/ - - title: "Guide" - url: /markdown/ + # - title: "Guide" + # url: /markdown/ diff --git a/_pages/experience.md b/_pages/experience.md new file mode 100644 index 000000000000..938d24a8cd94 --- /dev/null +++ b/_pages/experience.md @@ -0,0 +1,86 @@ +--- +layout: archive +title: "" +permalink: /experience/ +author_profile: true +redirect_from: + - /resume +--- + + + +Education +====== +1. **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 + +2. **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 (Reverse Chronological) +====== +1. **Ode Partners, Remote (Rapid City, SD)** + *Parter, Data Science, July 2023 - Present* + - Creating digital products and solutions for environmental impact. + - "Full Stack" Data Scientist: Sourcing, Joining, Preparing, Visualizing, and Modeling Data. + +2. **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). + +3. **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. + +4. **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. + +5. **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. + +6. **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. + +7. **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 +====== + \ No newline at end of file