Mark Hall

Mark Hall Email and Phone Number

Data Scientist at Pyramid Analytics @ Pyramid Analytics
Mark Hall's Location
Rotorua, Bay of Plenty, New Zealand, New Zealand
Mark Hall's Contact Details

Mark Hall personal email

n/a

Mark Hall phone numbers

About Mark Hall

Mark Hall is one of the original core developers of the Weka machine learning software and is currently a developer and data scientist at Pyramid Analytics. He has 15 years experience as an academic researcher in computer science and has published in machine learning conferences and journals. Prior to joining Pyramid, Mark lead Pentaho's machine learning solutions and, after Pentaho's acquisitionby Hitachi, worked as chief machine learning architect with Hitachi Vantara Labs. Mark held teaching and postdoctoral positions at the University of Waikato, and is currently an honorary research associate with the computer science department's machine learning group.Mark is married with five children. In his spare time he enjoys playing with his kids, windsurfing and playing guitar.

Mark Hall's Current Company Details
Pyramid Analytics

Pyramid Analytics

View
Data Scientist at Pyramid Analytics
Mark Hall Work Experience Details
  • Pyramid Analytics
    Data Scientist
    Pyramid Analytics Jan 2021 - Present
    Amsterdam, Nl
    View
  • Hitachi Vantara
    Machine Learning Architect
    Hitachi Vantara Sep 2017 - Jan 2021
  • Pentaho
    Sr. Data Mining Consultant / Engineer
    Pentaho Oct 2007 - Sep 2017
    Santa Clara, Ca, Us
    Project lead for Pentaho Data Mining (Weka).
    View
  • University Of Waikato
    Senior Lecturer
    University Of Waikato Feb 2000 - Sep 2007
    Teaching of computer science undergraduate and graduate courses. Research in machine learning and data mining. Core developer of the Weka data mining workbench.
  • University Of Waikato
    Postdoctoral Researcher
    University Of Waikato Feb 1999 - Feb 2000
    Performed fundamental research in machine learning and maintained the Weka data mining software.

Mark Hall Skills

Data Mining Weka Machine Learning Artificial Intelligence Pentaho Computer Science Software Engineering Big Data Predictive Analytics Java Hadoop Software Development Etl Business Intelligence Hbase Text Mining Mongodb Apache Spark Cassandra Databases Open Source Data Visualization Distributed Systems Pattern Recognition Data Modeling Algorithms Avro Nosql Business Analytics Text Analytics Information Retrieval

Mark Hall Education Details

  • The University Of Waikato
    The University Of Waikato
    Data Mining
  • Western Heights
    Western Heights
  • Marina Village Junior High
    Marina Village Junior High

Frequently Asked Questions about Mark Hall

What company does Mark Hall work for?

Mark Hall works for Pyramid Analytics

What is Mark Hall's role at the current company?

Mark Hall's current role is Data Scientist at Pyramid Analytics.

What is Mark Hall's email address?

Mark Hall's email address is mh****@****aho.com

What is Mark Hall's direct phone number?

Mark Hall's direct phone number is 866-660*****

What schools did Mark Hall attend?

Mark Hall attended The University Of Waikato, Western Heights, Marina Village Junior High.

What are some of Mark Hall's interests?

Mark Hall has interest in Guitar, Machine Learning, Windsurfing, Data Mining, Software Engineering.

What skills is Mark Hall known for?

Mark Hall has skills like Data Mining, Weka, Machine Learning, Artificial Intelligence, Pentaho, Computer Science, Software Engineering, Big Data, Predictive Analytics, Java, Hadoop, Software Development.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.