Eloy Gonzales

Global data science product lead @CAE

Artificial intelligenceNew Zealand✔️ ITML EngineerData ScientistData EngineerData Analyst

Eloy Gonzales is a seasoned professional in the field of data science and currently serves as the Global Data Science Product Lead at CAE Company. With a strong foundation in statistics, machine learning, data mining, and predictive modeling, Eloy has been pivotal in developing and implementing data-driven solutions that drive business growth and operational efficiency. Before his role at CAE, Eloy held several key positions in renowned tech companies where he honed his skills in data analysis and product development. He has a proven track record of leading cross-functional teams and effectively managing complex projects. Eloy holds a PhD Degree in Artificial Intelligence and continues to stay updated with the latest industry trends and technologies. He is recognized for his ability to simplify complex data and translate it into actionable business strategies. His dedication to leveraging data to solve real-world problems is unmatched, making him a valuable asset in the ever-evolving field of data science.

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Work Background

CAEGlobal Data Science Product Lead

Jan. 2022Auckland, New Zealand• Enhanced product offerings by integrating AI and machine learning capabilities, optimizing performance. • Led the vision and strategy for new data product innovations, fostering a culture of creativity. • Spearheaded the development of CAE's data science program, focusing on architecture, data governance, and security.

Kotahi Logistics LP LtdBusiness Data Excellence Lead

Nov. 2020 - Dec. 2021Auckland, New Zealand• Directed a team of data scientists, analysts, and engineers, leading recruitment efforts and team building. • Advanced Kotahi’s supply chain management platform from descriptive to predictive analytics. • Designed and implemented a data roadmap in collaboration with internal and external stakeholders. • Developed and executed a long-term innovation strategy leveraging AI technologies, significantly enhancing data strategy, digital transformation, and governance.

PlexureHead of Data Science

Apr. 2019 - Nov. 2020Auckland, New Zealand• Managed an international team, overseeing the data science capabilities of Plexure's Mobile Engagement Platform. • Key contributor to business growth and strategy, implementing AI solutions and data governance. • Led the creation and commercialization of data science products, securing 4 patents in AI algorithms. • Established strategic partnerships across the company, aligning data analytics services with customer needs and fostering relationships with C-level executives to enhance business offerings.

The Warehouse GroupSenior Data Scientist

Oct. 2017 - Mar. 2019Auckland, New Zealand- Design and implementation of AI solutions for HR domain. Extensive use of cognitive technologies such as AWS, IBM Watson, Google for voice, text and image recognition. - Design and implementation of predictive analytics and data visualization solutions for HR. - Technical advice and design of architecture for scalable solutions.

Inland Revenue NZData Scientist

Jul. 2016 - Sep. 2017Auckland, New Zealand- Advanced data analysis: Application of machine learning and data mining techniques for structured and non-structured data. Big Data implementation: ability to implement solutions, test hypotheses within big data frameworks such as Spark, Hadoop, AWS. Solution designer: Propose different solution approaches and identify the best combination to achieve the optimal solution to the business problem. Story telling: ability to effectively and concisely tell a story about the data/evidence to a wide range of audiences.

Inland Revenue NZSenior Information Scientist

Jan. 2014 - Jun. 2016Auckland, New ZealandProvide expert technical advice and support to intelligence analyst. Complex risk analysis context-aware using intelligent systems for decision making. Ensure robust, scientific and quantitative analysis in order to provide a view of of the compliance of customers. Develop an analytic platform via a unique combination of text analysis, natural language processing and machine learning algorithms. Extensive use of machine learning for designing, test and implement predictive models for structured and unstructured data Deliver a range of intelligence customized products to raise awareness of risks. Effectively manage projects ensuring they are well planned and resourced with quality outputs. Identify, develop and deliver improvements to intelligence systems, tools and processes to improve efficiency and effectiveness.

National Institute of Information and Communications Technology (NICT)Expert Researcher

Apr. 2011 - Dec. 2013Kyoto, JapanResponsibilities Project leader of 5 people. Design of IT solution for managing large-scale, data-intensive heterogeneous scientific databases using cloud computing technology. Preparation of technical and scientific papers for submission to international conferences and related journals. Design, modeling, testing and implementation of evolutionary algorithms applied to data mining and knowledge discovery. Study of multi-relational data mining algorithms for real applications such as e-Science. Develop of a framework for effective knowledge discovery from heterogeneous databases targeting at web contents, digital libraries and sensing data streams. Generation of metadata and searching engine from large-scale metadata for information services platform.

IBMSystems Engineer

Jan. 1999 - Aug. 2005BoliviaInstallation /configuration/ verification of IBM iSeries, pSeries and xSeries systems. Capacity Planning and Performance Analysis for IBM mid-range servers. Installation, configuration and support database DB2 UDB over different operating systems. Provide IT solutions to customer’s requirements for High Availability Servers Infrastructure. Train customers and internal staff on iSeries Server technologies and products such as Tivoli and WebSphere. Technical support for Migration and Upgrade of hardware and software for IBM servers based on results of capacity planning and performance analysis. Installation / verification of logical partitions and shared operating systems on IBM servers

BancoSol S.A.System Development/System Analyst

Jan. 1997 - Dec. 1998BoliviaResponsibilities Requirements Analysis. Solutions Design. Solutions implementation developed in Visual Basic and Sybase stored procedures. Databases design. Software applications installation into Microsoft Windows SQL server and Sybase. System’s users support. Control and monitoring of software modules. Reports development.