Matthew Quick

Innovative Principal Network Engineer expert in the design, configuration, optimization, and performance management of LANs, WANs, Internet peering, and mobile wireless networks. Extensive knowledge starting from the physical “wire” through the routing TCP/IP protocol layers to the end-user experience. Highly skilled at providing next-generation network vision based on business and financial justification. Forward-thinking with great attention to detail and polished presentation.

United States Patent 20060098665, “Systems and methods for communicating with bi-nodal network elements.” (TCP/IP, OSPF routing protocol)

"Near East Demographics and Terrorism,” Comparative Advantage, Undergraduate Economics Journal, Winter (2014), Stanford University. (Statistical analysis)

1). Certified Splunk Knowledge Manager: (Cert-57717)

Columbia University : Professional Certificate: Data Science for Executives

1). Machine Learning for Data Science and Analytics

2). Statistical Thinking for Data Science and Analytics

3). Enabling Data Science: The Internet of Things (IOT)

Stanford University : Probabilistic Graphical Models: Representation

Microsoft : Professional Certificate: Data Science Core

1). Querying Data with Transact-SQL

2). Essential Math for Machine Learning: Python Edition

3). Introduction to Python for Data Science

Member:

Data Science Association; Researchgate

Groups:

1). Data Science Central

2). Advanced Analytics, Predictive Modeling & Statistical Analyses Professionals Group