Michael O'Connell

Michael O'Connell Email and Phone Number

Chief Analytics Officer @ Spotfire
California, United States
Michael O'Connell's Location
San Francisco Bay Area, United States
Michael O'Connell's Contact Details

Michael O'Connell work email

Michael O'Connell personal email

About Michael O'Connell

Michael O'Connell is a Chief Analytics Officer at Spotfire. He possess expertise in analytics, business intelligence, predictive analytics, data mining, big data and 26 more skills. Colleagues describe him as "Michael is a tireless genius with exceptional skills and insight into statistics, life sciences, environmental sciences, visualization, and software design. It was a pleasure to work with him and be associated with the project."

Michael O'Connell's Current Company Details
Spotfire

Spotfire

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Chief Analytics Officer
California, United States
Michael O'Connell Work Experience Details
  • Spotfire
    Chief Analytics Officer
    Spotfire
    California, United States
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Michael O'Connell Skills

Analytics Business Intelligence Predictive Analytics Data Mining Big Data Enterprise Software R Business Analysis Statistics Predictive Modeling Data Analysis Statistical Modeling Business Analytics Databases Sas Data Visualization Cloud Computing Lifesciences Cluster Analysis Machine Learning Quantitative Analytics Sas Programming Data Management Logistic Regression Biostatistics Saas Analytique Sql Strategy Datamining Data Science

Frequently Asked Questions about Michael O'Connell

What company does Michael O'Connell work for?

Michael O'Connell works for Spotfire

What is Michael O'Connell's role at the current company?

Michael O'Connell's current role is Chief Analytics Officer.

What is Michael O'Connell's email address?

Michael O'Connell's email address is bm****@****hoo.com

What is Michael O'Connell's direct phone number?

Michael O'Connell's direct phone number is +184585*****

What skills is Michael O'Connell known for?

Michael O'Connell has skills like Analytics, Business Intelligence, Predictive Analytics, Data Mining, Big Data, Enterprise Software, R, Business Analysis, Statistics, Predictive Modeling, Data Analysis, Statistical Modeling.

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