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Bio

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Hello! I'm Jaron Lee, currently based in Baltimore, Maryland. I hold a PhD in Computer Science from Johns Hopkins University and a Bachelor's Degree in Mathematics and Statistics from The Australian National University. My professional journey includes roles as a Data Science Intern at Delfina and a Research Intern at Adobe, where I focused on off-policy evaluation problems for recommendation systems. I also served as a Data Scientist at the United States Studies Centre and HIVERY, where I honed my skills in data extraction, analysis, and algorithm development. I am proficient in several programming languages including R and Python, and I have strong capabilities in customer service, public speaking, and teamwork. I am fluent in English and have a passion for research and statistical analysis.

Experience

    • Data Scientist
      • Jun 2024 - Present
  • Delfina
    • San Francisco Bay Area
    • Data Science/Engineering Intern
      • Jun 2023 - Aug 2023
      • San Francisco Bay Area

      - Developed data pipelines integrating EHR and mobile app data for pregnancy care. - Supported unit and integration testing efforts for SQL queries. - Built dashboards for visualizing and detecting data errors with plotly. - Developed in-house rules based data validation framework for outlier det...

  • Adobe
    • Baltimore, Maryland, United States
    • Research Intern
      • May 2021 - Aug 2021
      • Baltimore, Maryland, United States

      - Designed an off-policy evaluation problems for recommendation systems using deep learning embeddings in the propensity score- Delivered patent filing and NeurIPS 2021 workshop paper

  • Flatiron Health
    • Baltimore, Maryland, United States
    • Quantitative Sciences Intern
      • Jun 2020 - Aug 2020
      • Baltimore, Maryland, United States

      - Analyzed implications of bias in ML-predicted variables on downstream data products and analyses- Delivered first author clinical abstract at ISPOR 2020, a leading health outcomes venue- Contributed to future guidance on improving ML data product quality

    • Data Scientist
      • Mar 2017 - Jul 2018
      • Sydney

      - Developed web-scraping utilities to gather data about political events- Led recitations in Masters-level data science course focusing on social science analytics- Advised USSC staff on statistical science and education topics- Supported USSC white papers through statistical analysis

  • HIVERY
    • Sydney, Australia
    • Data Scientist
      • Jan 2017 - Jul 2018
      • Sydney, Australia

      - Led the HIVERY Promotional Effectiveness team, to advance promotional calendaring optimizaiton for fast-moving consumer goods- Performed full stack data science duties including data extraction, preliminary analysis, algorithm development, software engineering, stakeholder management, and clien...

Education

  • 2018 - 2024
    The Johns Hopkins University
  • 2013 - 2016
    The Australian National University
  • 2008 - 2012
    Perth Modern School

Suggested Services

This profile is unclaimed. These are suggested service rates with 0% commision upon successful connection

Industry Focus. “Computer and Network Security”

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