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Ryan S Kirk, 41Seattle, WA

Ryan Kirk Phones & Addresses

Seattle, WA   

Bellingham, WA   

55 Halili Ln APT 11E, Kihei, HI 96753   

Tampa, FL   

Orlando, FL   

San Antonio, TX   

Franklin, WI   

Milwaukee, WI   

Cudahy, WI   

Wooster, OH   

Ashland, OH   

Chicago, IL   

Work

Company: Bochetto & Lentz, P.C. Address:

Mentions for Ryan S Kirk

Career records & work history

Lawyers & Attorneys

Ryan Kirk Photo 1

Ryan Kirk - Lawyer

Office:
Bochetto & Lentz, P.C.
ISLN:
1001051026
Admitted:
2020
Law School:
Duke University, J.D.

Ryan Kirk resumes & CV records

Resumes

Ryan Kirk Photo 43

Hospital Corpsman

Location:
Seattle, WA
Industry:
Health, Wellness And Fitness
Work:
Uss Nimitz
Hospital Corpsman
Education:
Sonoran Desert Institute 2018 - 2018
Skills:
Microsoft Office, Customer Service, Leadership, Emergency Medicine, Mechanics, Time Management
Ryan Kirk Photo 44

Senior Director, Enterprise Data

Location:
1 Solutions Pkwy, Town And Country, MO
Industry:
Broadcast Media
Work:
Sinclair Broadcast Group Dec 2017 - Dec 2018
Director, Data Science
Sinclair Broadcast Group Dec 2017 - Dec 2018
Senior Director, Enterprise Data
Centurylink Apr 2015 - Dec 2017
Principal Data Scientist
Maana Oct 2014 - Apr 2015
Data Science Architect
Hipcricket Oct 2013 - Oct 2014
Senior Data Scientist
Amazon Aug 2012 - Sep 2013
Business Intelligence Analyst Ii
Iowa State University Aug 2009 - Aug 2012
Research Scientist
Dwolla Feb 2012 - Jun 2012
Consultant Data Scientist
Iowa State University Jan 2011 - Jan 2012
Machine Learning Scientist
Embria Health Sciences Apr 2008 - Aug 2008
Summer Marketing and Research Intern
Buy Fresh Buy Local Jan 2007 - May 2007
Marketing Intern
Education:
Iowa State University 2009 - 2014
Doctorates, Doctor of Philosophy, Philosophy
Drake University 2005 - 2009
Bachelors, Bachelor of Science, Business Administration, Marketing, Psychology
Skills:
Data Analysis, Data Mining, Machine Learning, Python, Statistics, Human Computer Interaction, Analytics, Sql, Artificial Intelligence, Management, Big Data, Leadership, Data Visualization, User Experience, Databases, Natural Language Processing, Algorithms, Qualitative Research, Passion, User Research, Business Intelligence, Information Visualization, Childlike Curiosity, Sentiment Analysis, Agile Project Management, Cloud Computing, Causal Inference, Predictive Modeling, Learning Analytics, Cognitive Psychology, Marketing Research, Business Analytics, Conceptual Design, Database Design, Market Research, Research Design, Survey Design, User Centered Design, Predictive Analytics, Internet of Things, Mobile Advertising, Mobile Applications, Usability Testing, Data Management, Online Advertising, Data Science, Unsupervised Learning, Hypothesis Testing, Intelligent Systems, Cybersecurity
Interests:
Blogging
Investing
Technology
Environment
Science and Technology
Disaster and Humanitarian Relief
Human Rights
Languages:
English
Spanish
Ryan Kirk Photo 45

Ryan Kirk

Ryan Kirk Photo 46

Hotel Manager

Location:
Seattle, WA
Industry:
Hospitality
Work:
Executive Hotel Pacific
Hotel Manager
Ryan Kirk Photo 47

Ryan Van Kirk

Ryan Kirk Photo 48

Business Intelligence At Amazon

Position:
Business Intelligence at Amazon
Location:
Greater Seattle Area
Industry:
Research
Work:
Amazon - Greater Seattle Area since Aug 2012
Business Intelligence
Education:
Iowa State University 2009 - 2012
Drake University 2005 - 2009
Skills:
Learning Analytics, Natural Language Processing, Artificial Intelligence, Machine Learning, Cognitive Psychology, Social Psychology, Marketing Research, Human-computer Interaction, User Experience, Information Visualization, Information Architecture, SQL, Python, Childlike Curiosity, Passion, Human Computer Interaction
Interests:
Blogging, Investing, Technology
Languages:
English
Spanish
Ryan Kirk Photo 49

Ryan Kirk

Location:
United States

Publications & IP owners

Us Patents

Machine Discovery Of Aberrant Operating States

US Patent:
2018021, Jul 26, 2018
Filed:
Dec 11, 2017
Appl. No.:
15/837858
Inventors:
- Denver CO, US
Ryan Kirk - Seattle WA, US
International Classification:
G06N 5/04
G06N 99/00
Abstract:
Novel tools and techniques for the machine discovery of aberrant states are provided. A system includes a plurality of network devices, and a decision system in communication with the plurality of network devices. Each of the plurality of network devices may be configured to generate a respective data stream. The decision system may include a processor and a non-transitory computer readable medium including instructions executable by the processor to obtain, via the plurality of network devices, one or more data streams. The decision system may build a historic model of a data stream, and determine a predicted value of the data stream at a future time, based on the historic model. The decision system may be configured to determine whether an anomaly has occurred based on a variation between a current value of the data stream and the predicted value of the data stream.

Machine-Assisted Key Discovery And Join Generation

US Patent:
2018020, Jul 19, 2018
Filed:
Jan 17, 2017
Appl. No.:
15/408337
Inventors:
- Palo Alto CA, US
Field Nicholas Cady - Redmond WA, US
Alexander Hussam Elkholy - Seattle WA, US
Robert Povey - Redmond WA, US
Tara Sanathanan Prakriya - Redmond WA, US
Ryan Allen Kirk - Seattle WA, US
International Classification:
G06F 17/30
Abstract:
Embodiments are directed towards managing data. Attributes of model fields of a plurality of model objects may be analyzed. If the analysis of the attributes discovers primary key fields in the model objects, the characteristics of the primary keys may be compared with the characteristics of other model objects. If affirmative results of the comparison indicate that one or more foreign key fields may be in the other model objects, one or more relationships that associate the primary key fields with the foreign key fields may be provided. And, a system model may be provided based on the relationships and the model objects that include the primary key fields and the model objects that include the foreign key fields.

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