Data Analyst- Medicinal Foods

• Data Analyst job responsibilities :

• • Explore/Visualize data
  • Identify trends and patterns in Historical data
  • Quantify data
  • Build predictive models to identify relevant areas
  • Visualization of Model outcomes
  • Scenario building (changing input variables and observing impact on outcome)

• Tools - R, Python, MATLAB, SQL, PowerPoint Excel, Google Colab, Git
• Knowledge or Interest in anyone or more:

• • Programming for Data Science
  • Mathematics
  • Statistics
  • Predictive Analytics
  • Prescriptive Analytics
  • Machine Learning - Supervised/Unsupervised learning
  • Artificial Intelligence
  • Data Mining
  • Computer Science
  • Monte Carlo Simulations
  • Expectations:

• • • Review and present Technical papers in a way that everyone can understand
    • Assist in Model development and testing by contributing to finding data and programming
    • Identify/Collect relevant data
    • Work cross-functionally
    • Traits:

• • • • Mathematically inclined, highly analytical, creative problem solver, can conduct analyses independently or with minimal supervision

You can see an overview of our medicinal foods application here (https://docs.google.com/presentation/d/12aEqwiRctIx3QcvK6HNFy4uJ5TgRffxQ7xPLEINNyJw/edit?usp=sharing). You can see a data science collection roadmap for how we can match million of recipe reviews to co-variates like stress and anxiety here: https://drive.google.com/file/d/1gF951Q7-XHFblTG-znjW3xXA8XAkPslB/view?usp=sharing. You can see a brake-down of human capital requirements for this project here: https://docs.google.com/document/d/1Kf3mIHQ9_YilBk9kBCvCFXaTj2AbA07SFAX_hv55Cik/edit?usp=sharing.

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