Edited Experience Page

_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/

_pages/experience.md

@@ -0,0 +1,86 @@
+---
+layout: archive
+title: ""
+permalink: /experience/
+author_profile: true
+redirect_from:
+  - /resume
+---
+
+<!-- {% include base_path %} -->
+
+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
+======
+  <ul>{% for post in site.talks %}
+    {% include archive-single-talk-cv.html %}
+  {% endfor %}</ul>
+
+Teaching
+======
+  <ul>{% for post in site.teaching %}
+    {% include archive-single-cv.html %}
+  {% endfor %}</ul>