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Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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AndreaHobby/README.md

👋🏽 Welcome!

My name is Andrea, and I'm a Director of Data Science at a nonprofit focused on laboratory medicine and diagnostics.

💼 Education/Experience:

  • Currently, I am a doctoral student at Johns Hopkins School of Public Health. Previously, I got my MS in Epidemiology from Georgetown University with a Certificate in Data Science. For undergraduate, I graduated from Wellesley College.
  • Overall, I have more than 15 years of experience working in the healthcare industry. Previuosly, I worked at Accenture for several years as a Data Scientist. Before Accenture, I worked at the FDA for a year in a data science fellowship. Prior, I worked at a variety of universities in clinical research operations and data management.

🧪 What I Do In My Current Role:

  • Strategic Leadership and Portfolio Management: Oversee the data science portfolio, ensuring alignment with organizational priorities, managing budgets, and fostering cross-functional collaboration.
  • Stakeholder Engagement and Collaboration: Act as a liaison to committees, build partnerships with public and private organizations, and manage strategic initiatives' agendas and logistics.
  • Education, Training, and Communication: Develop educational content in collaboration with experts and contribute to digital marketing initiatives tailored to diverse audiences.
  • Research and Environmental Monitoring: Provide expert guidance on data science research in laboratory medicine and healthcare systems, tracking trends and best practices to guide portfolio goals.

🛠️ Expertise:

  • Machine Learning & AI (Python, R, scikit-learn, NLP)
  • Cloud (AWS, Azure, Snowflake)
  • Clinical & Real-World Data (FHIR, claims, EHR)
  • Leadership (Agile, stakeholder engagement, data strategy)
  • Team Building (Mentorship)

🔬 Recent Projects:

  • HHS AI Strategic Plan: Collaborated with my former colleagues at HHS to develop the HHS AI Strategic plan.
  • Cancer: Built decision tree model to predict the cost of cancer care for breast cancer patients
  • Infectious Disease: Built an infectious disease lab testing dashboard in Tableau for a state with the population of 1 million residents.
  • Data Privacy: Developed along with my teammates Python-based scripts which was integrated with Snowflake to detect Personally Identifiable Information (PII) for 30 miilion people who seek care at community health centers

🎤 Speaking & Thought Leadership:

  • 💡 *Responsible AI using SciPy – PyData - April 2025
  • 💡 Defining the AI Roadmap in Healthcare IT – HIMSS DC - September 2024

Find me around the web 🌎

  • Sharing updates on LinkedIn 💼
  • 📝 Health Innovation Newsletter – Writing on health AI, leadership, and data strategy

Pinned Loading

  1. Epidemiology-Tools- Epidemiology-Tools- Public

    A list of tools to assist with epidemiology research

    17

  2. Programming-with-SAS Programming-with-SAS Public

    A list of resources to learn programming in SAS

    5 2

  3. CKD-Prediction CKD-Prediction Public

    Jupyter Notebook 2 1

  4. Programming-with-R- Programming-with-R- Public

    Resources I used to Learn R

    1