Professional Experience

Marigold Health

2016 - Present

Director of Data Science (2024 - Present)

  • Spearheading data architecture migration to Snowflake to enable robust business intelligence and empower data-driven decision-making
  • Establishing and building out the data science team.
  • Developing and implementing statistical frameworks for outcomes analysis to demonstrate ROI for our customers.
  • Leading the integration of generative AI technologies across multiple internal workflows to enhance productivity and automate routine tasks.

Founding Data Scientist (2016 - 2024)

  • Developed Marigold's core data science technology from scratch as a founding data scientist.
  • Led development of custom sentiment analysis, churn prediction, and population-level analysis models to improve member outcomes and app retention.
  • Secured ~$1M in grant funding and research collaborations with institutions including Brown University.
  • Built and maintained robust, HIPAA-compliant APIs for core product services.

Skills

Languages: Python, JavaScript, SQL

ML Tools: Pandas, Spacy, Scikit-learn, PyTorch, Transformers, Matplotlib, Prodigy, MLFlow

Web & Infrastructure: FastAPI, Flask, arq, redis, postgres, Docker, Twilio

ETL & BI: Snowflake, Fivetran, Sisense

GenAI: AWS Bedrock, RAG, MCP

Publications & Patents

Notable Appearances