Experience

  1. Data Engineer/Scientist, Director of Data Analytics

    Muscular Dystrophy Association
    • Create pipelines to ingest, transform and store disparate datasets for analysis and modelling leveraging cloud based platforms.
    • Reduced manual reporting through automated SQL and Python pipelines feeding Tableau dashboards
    • Develop ML and generative-AI models supporting analytics and research applications across business domains.
    • Mentor and manage junior analysts as direct and indirect reports
    • Collaborate with cross functional leadership and execute on enterprise wide data strategy
  2. Data Science, Teaching Assistant

    University of Chicago
    • Supported graduate level instruction in machine learning, model evaluation, data visualization and deep learning workflows using Python and Cloud Platforms.
    • Mentored students on ML best practices, reproducibility, and communicating technical results effectively, including: EDA & data profiling, data modelling, dataset readiness for visualization and ML, and delivery of analytic findings.

Education

  1. Masters in Applied Data Science (AI Focus)

    University of Chicago
    • Capstone Project on Speaker Identification & Few-Shot Keyword Spotting for Edge Devices. Supervised by Dr Utku Pamuksuz.
    • Awarded Best in Show
    Read Paper
  2. Bachelors of Arts

    University of Washington
    • GPA: 3.8/4.0
    • Specialized in Neuropyschology Research.
Skills & Hobbies
Technical Skills
Python
Machine Learning
Cloud Platforms
Pipeline Development
Hobbies
Backpacking
Open Source Community Projects
Reading
Health & Fitness
Awards
Best in Show
University of Chicago, Capstone Review Board ∙ March 2022
Languages
100%
English
5%
German