Work Experience

Work experience

  • General Motors (July 2021 – Present) – Data Scientist
    • Led the pilot development of a conversational chatbot using Langchain and GPT-4 to automate the generation and execution of SQL queries based on questions from the Portfolio Planning division to improve workforce efficiency by 45%
    • Developed a survival analysis model to predict the scrappage rate for all vehicles on an annual basis with 73% accuracy in order to provide business intelligence into the demand for non-collision part repairs
    • Led the development of a recommendation engine using statistical methods to boost the recommendation rate for vehicles that were previously constrained for dealerships
      • Nationally-launched for all GM dealerships in USA
    • Developed a random forest model with 63% accuracy to determine the amount of delay that a vehicle will experience during the delivery to the customer
  • General Motors (Summer 2020) – Software Engineering Intern
    • Developed UI pages using JavaScript and Vue.js and backend using Spring Boot for the HSM File Type Signing Project
    • Used JPA to update and retrieve user and file data from a PostgreSQL Database
    • Released the frontend and backend contributions into production for internal use
    • Used market basket analysis to find correlations between car features and the time it takes that car to be sold
    • Worked in an agile and scrum environment
  • Social Dynamics and Wellbeing Lab (Spring 2019 – Present) – Research Assistant
    • Used NLP techniques to train supervised machine learning models on glassdoor posts to predict company performance
    • Processed and labeled social media posts to understand people’s expression of major life events through social media
    • Scraped Twitter, Reddit, and Tumblr posts that contain CDC-provided keywords that correlate with suicide
  • UPenn Operations, Information, and Decisions Department (Summer 2019) – Research Assistant
    • Analyzed the impact of airballs on a basketball players performance using SportVU camera data from NBA games
    • Developed software to identify airballs using player and ball coordinates from SportVU camera data
    • Correlated changes in performance measures, such as shots, rebounds, passes, with airballs
  • LKQ Corporation – IT Intern
  • Computational Economics Research Lab (Summer 2017) – Research Assistant

Publications

  • Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities (Dec 2020)
    • JAMA Network
  • Crime Prediction and Optimal Police Allocation (May 2018)
    • Young Scientist Journal
    • Summer Research Symposium at Vanderbilt University: Honorable Mention
    • Middle TN Science and Engineering Fair: 2nd Place Computer Science Award
  • Development of basketball metrics using SportVU, an advanced optical recognition system (May 2016)
    • Tennessee Junior Academy of Science Symposium: Runners Up Award
    • Joint Retreat Research Symposium at Vanderbilt University

resume

Please feel free to view and download my resume for more details on my work and project experience!

Resume_7_26_2024.docxDownload