David Noonan

David Noonan Email and Phone Number

Data Professional
David Noonan's Location
San Francisco Bay Area, United States
About David Noonan

I’m a data professional in the Bay Area with a background in molecular biology.

David Noonan's Current Company Details

Data Professional
David Noonan Work Experience Details
  • Shelter, Inc.
    Data Analyst
    Shelter, Inc. Sep 2019 - Feb 2020
    Concord, California, United States
    • Automated monthly and quarterly reports, saving multiple days of work each month• Created organization-wide and leadership-specific Power BI dashboards to track key performance indicators
    View
  • Convergence Data Analytics
    Consultant
    Convergence Data Analytics Dec 2017 - Sep 2019
    Oakland
  • Global Fishing Watch
    Volunteer Data Analyst
    Global Fishing Watch Aug 2017 - Dec 2017
    Oakland, Ca
    Building hidden Markov models in R to predict unsustainable fishing behavior in fishing boats from spatial movement data.
    View
  • Ucsf Benioff Children'S Hospital Oakland
    Research Associate
    Ucsf Benioff Children'S Hospital Oakland Aug 2010 - Jan 2017
    Oakland, Ca
    Generated and processed DNA sequencing data for disease association studies.
    View
  • Stanford University School Of Medicine
    Life Science Research Associate
    Stanford University School Of Medicine Jan 2014 - Nov 2014
    Palo Alto, Ca
    Trained and supervised team of technicians in sequencing method using next generation sequencing methods.
    View

David Noonan Skills

R Data Analysis Molecular Biology Genomics Statistics Data Visualization Sql Sas Programming Machine Learning Genetics Tableau

David Noonan Education Details

Frequently Asked Questions about David Noonan

What is David Noonan's role at the current company?

David Noonan's current role is Data Professional.

What schools did David Noonan attend?

David Noonan attended California State University - East Bay, University Of California, Berkeley.

What skills is David Noonan known for?

David Noonan has skills like R, Data Analysis, Molecular Biology, Genomics, Statistics, Data Visualization, Sql, Sas Programming, Machine Learning, Genetics, Tableau.

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