Elías Masquil Cataldi

Senior Machine Learning Engineer at Memorable
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Contact Information
us****@****om
(386) 825-5501
Location
Uruguay, UY
Languages
  • English Native or bilingual proficiency
  • Spanish Native or bilingual proficiency
  • Portuguese Limited working proficiency
  • French Elementary proficiency

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Credentials

  • C1 Advanced
    Cambridge Assessment English

Experience

    • United States
    • Advertising Services
    • 1 - 100 Employee
    • Senior Machine Learning Engineer
      • Feb 2023 - Present

    • Spain
    • Insurance
    • 1 - 100 Employee
    • Lead Engineer
      • Sep 2022 - Jan 2023

      Lead engineer at an early-stage startup, working in a marketing cloud solution for insurance and financial services to prevent customer churn and improve cross-selling. Responsible for designing and implementing ETL solutions both on-premise and using AWS Glue. Led the team of data scientists into the usage of DVC for tracking models and experiments. Defined and implemented metrics to measure campaigns' performance. We improved +34% the retention rate of our customers and increased their cross-selling rates by 115%. Show less

    • France
    • Research Services
    • 700 & Above Employee
    • Research Intern
      • Apr 2022 - Sep 2022

      Research Intern at Flowers team https://flowers.inria.fr ● Proposed a novel learning framework for Multi-Agent RL problems (MARL-IMGEP), to formalize and study intrinsic motivation in multi-agent systems. ● Implemented a MARL-IMGEP algorithm and a multi-agent environment, to study how coordination between agents impact their performance. Research Intern at Flowers team https://flowers.inria.fr ● Proposed a novel learning framework for Multi-Agent RL problems (MARL-IMGEP), to formalize and study intrinsic motivation in multi-agent systems. ● Implemented a MARL-IMGEP algorithm and a multi-agent environment, to study how coordination between agents impact their performance.

    • Uruguay
    • Software Development
    • 1 - 100 Employee
    • Senior Machine Learning Engineer
      • Dec 2020 - Aug 2021

      Led small teams and projects in Computer Vision and Data Science

    • Machine Learning Engineer
      • Dec 2018 - Dec 2020

      Designed, implemented, and deployed end-to-end solutions in Computer Vision, Out-of-stock predction, and Natural Language Processing

    • Uruguay
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant - Electrical Engineering Institute, FING (Instituto de Ingeniería Eléctrica)
      • Jan 2021 - Jul 2021

      Teaching assistant at engineering courses ▪ Statistical Signal Processing (Estimación y Predicción en Series Temporales) Research in Non-Intrusive Load Monitoring (NILM) Teaching assistant at engineering courses ▪ Statistical Signal Processing (Estimación y Predicción en Series Temporales) Research in Non-Intrusive Load Monitoring (NILM)

    • Uruguay
    • Higher Education
    • 700 & Above Employee
    • Teaching assistant - Physics Institute, FING (Instituto de Física, Facultad de Ingeniería)
      • Mar 2018 - Jan 2019

      Teaching assistant at engineering courses▪ Experimental physics I (Física Experimental 1)▪ Experimental physics II (Física Experimental 2)Research in applied optics (DOAS)▪ Remote sensing▪ Signal processing

    • Research Intern - Physics Institute, FING (Instituto de Física, Facultad de Ingeniería)
      • Nov 2017 - Mar 2018

      Research intern at the Applied Optics GroupDetermination of atmospheric contaminants using differential optical spectroscopy (MAX-DOAS, TOTAL-DOAS).▪ Remote sensing▪ Spectrometer data processing▪ Hyperspectral image processing

Education

  • École normale supérieure Paris-Saclay
    Master's degree, MVA (Mathematics, Vision, Learning)
    2021 - 2022
  • Universidad de la República
    Engineer's degree, Electrical, Electronics and Communications Engineering
    2015 - 2020

Community

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