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Eloy Estanislao Gonzales Alpire

Global Data Science Product Lead

CAE Flight Services New Zealand Limited

Auckland, Nueva Zelanda

Líneas de Investigación


Improvement and optimization of machine learning algorithms with emphasis in artificial neural networks (deep learning) ,genetic algorithms (GNP) and reinforcement learning. Design of ICT architecture to provide solution for big data processing.

Educación

  •  Artificial Intelligence, Waseda University. Japón, 2011
  •  Information, Production and Systems, Waseda University. Japón, 2007

Experiencia Académica

  •   Expert Researcher Full Time

    National Institute of Information and Communications Technology

    Universal Communications Research Institute

    Kyoto, Japón

    2011 - 2013

  •   Professor - Remote Part Time

    Universidad Mayor San Andres

    Facultad de Informatica

    La Paz, Bolivia

    2021 - 2021

Experiencia Profesional

  •   Data Scientist Full Time

    Inland Revenue

    Auckland, Nueva Zelanda

    2014 - 2017

  •   Senior Data Scientist Full Time

    The Warehouse Group

    Auckland, Nueva Zelanda

    2017 - 2019

  •   Head of Data Science Full Time

    Plexure Group

    Auckland, Nueva Zelanda

    2019 - 2020

  •   Business Data Lead Full Time

    Kotahi Logistics

    Auckland, Nueva Zelanda

    2020 - 2021

Premios y Distinciones

  •   Distinguished Young Researcher Award

    The 3rd International Workshop with Mentors on Databases, Web and Information Management for Young Researcher

    Japón, 2011

    Distinguished Young Researcher Award granted by The 3rd International Workshop with Mentors on Databases, Web and Information Management for Young Researcher. Kyoto, Japan 2011.

  •   Best Paper Award

    International Academy, Research and Industry Association

    Italia, 2012

    Best Paper Award granted by the International Academy, Research and Industry Association presented during The Second International Conference on Advances in Information Mining and Management. Venice, Italy. October 2012.


 

Article (6)

Evolutionary Selection of Interesting Class Association Rules Using Genetic Relation Algorithm
Efficient Pruning of Class Association Rules using Statistics and Genetic Relation Algorithm
Mining Fuzzy Association Rules: A General Model Based on Genetic Network Programming and its Applications
Combination of Two Evolutionary Methods for Mining Association Rules in Large and Dense Databases
Association Rule Mining for Continuous Attributes using Genetic Network Programming
Adaptation and Self-Adaptation Mechanisms in Genetic Network Programming for Mining Association Rules
6
Eloy Gonzales

Global Data Science Product Lead

CAE Flight Services New Zealand Limited

Auckland, Nueva Zelanda

2
Karla Taboada

Head Of Data Science

Auckland Transport

Auckland, Nueva Zelanda