Experience

WillScot Mobile Mini

• United States
• 1 - 100 Employee

• Senior AI Engineer

  • Jun 2023 - Present

  Develop and lead a project focused on utilizing machine learning to forecast when storage units and modular offices will be returned. Clean and feature engineer data from numerous cloud data products. Use these forecasts to develop an automated report for the finance team detailing the expected number of returned units in any given month or year for each branch, region, and division. Automate the model to be run periodically and move it onto the cloud. Present results to directors and vice presidents on ways to expand the project and present additional use cases of machine learning Develop machine learning and artificial intelligence solutions. Show less



MITRE

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Data Science and Model Developer Intern

  • Jun 2021 - May 2023

  Utilize Monte Carlo simulation to understand possible worst-case scenarios of 5G implementation on shared radar frequencies. Conduct research into frequency sharing solutions between 5G and radar systems to alleviate negative impacts on both of these systems. Utilize Monte Carlo simulation to understand possible worst-case scenarios of 5G implementation on shared radar frequencies. Conduct research into frequency sharing solutions between 5G and radar systems to alleviate negative impacts on both of these systems.



The University of Oklahoma Foundation, Inc.

• United States
• Higher Education
• 100 - 200 Employee

• Machine Learning Research Assistant

  • Jun 2019 - Jan 2023

  Use hierarchical clustering to group extreme weather events from historical weather data. Identify and demonstrate machine learning techniques capable of solving various problems presented by The Oklahoma Department of Transportation (ODOT) and present findings to ODOT’s management. Utilize historical weather data and machine learning to develop a model capable of predicting rainfall in Oklahoma. Use hierarchical clustering to group extreme weather events from historical weather data. Identify and demonstrate machine learning techniques capable of solving various problems presented by The Oklahoma Department of Transportation (ODOT) and present findings to ODOT’s management. Utilize historical weather data and machine learning to develop a model capable of predicting rainfall in Oklahoma.