Elijah Grubbs Email & Phone Number

Chicago, Illinois, United States

Ann Arbor, Michigan, United States

Cracking Euchre with Reinforcement Learning.Created a reinforcement learning agent capable of playing euchre. Capable of winning 70% of the time.

Ann Arbor, Michigan, United States

SEC Insider Trading Data AnalysisCreated webscraping tool to collect over 100,000 records of SEC Form 4 filings.Analyzed data to discover trends and behavior driving insider trading behavior

Ann Arbor, Michigan, United States

• The goal of this project is to research and replicate state-of-the-art machine learning technologies as described in research papers. I contributed as both the overall project lead and a sub-group lead.My.
• Organizing and running weekly project meetings
• Keeping up-to-date on all subgroup's progress
• Writing the final report detailing the work completed by each subgroup
• Creating the slide deck for the MDST Project Presentation showcase My responsibilities as Reinforcement Learning sub-group lead included:
• Researching increasingly complex Reinforcement Learning topics throughout the semester

Ann Arbor, Michigan, United States

• The goal of the project was to create an end-to-end reusable pipeline to preprocess data to visualize the stock trades of senators and house members. While also contributing to the work technically, my responsibilities.
• Overseeing project progression and efficiently allotting tasks to speed up deliverable development
• Conveying unfamiliar, complicated topics such as stock options, and position basis to group members with non-English first languages, which positively affected independent and group work
• Stay up-to-date with members and their interaction with the project, to facilitate a stronger group dynamic and to make sure no one was left behind.

Tampa, Florida, United States

• Developed end-to-end model training pipeline using AWS Glue for ETL processes and Amazon SageMaker for model training, accelerating development lifecycle and ensuring seamless data flow from preprocessing to model.
• Streamlined Docker-based deployment pipelines, optimizing containerization leading to a 90% reduction in machine start-up time, enhancing model iteration speed.
• Delivered impactful presentations to non-technical stakeholders, effectively conveying project outcomes through visual metrics, fostering cross-departmental collaboration.

Tampa, Florida, United States

• Engineered several features by analyzing over $50 Billion in transaction volume which boosted model performance by more than 400% compared to existing controls in that space.
• Presented findings of machine learning models to senior management using quantitative analysis and creative visuals in a combined PowerPoint presentation.
• Leveraged several AWS solutions to support real-time model deployment, including Interactive EMR and SageMaker.

Powell

Data Science, Engineering, Third Year

Activities and Societies: Michigan Data Science Team Michigan Poker Club

12

Activities and Societies: Global Scholars Diploma Program, Varsity Swim Team, Junior State of America, Science Olympiad, National Honors.

Education record

Pre-Collegiate Studies, Data Structures, Summer of 2019