Yann Morize

Yann morize

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location of Yann MorizeBlonay, Vaud, Switzerland
Phone number of Yann Morize+91 xxxx xxxxx
Followers of Yann Morize477 followers
  • Timeline

    Jul 2018 - Aug 2018

    Summer Internship

    Swiss Fresh Water
    Mar 2020 - Jul 2020

    Data Science Intern

    Loadsmart
    Current Company
    May 2021 - now

    Product manager Data/AI

    Loadsmart
    Remote
  • About me

    Product, data & AI @ Loadsmart | MSc Mechatronics EPFL

  • Education

    • Ecole polytechnique fédérale de lausanne

      2018 - 2020
      Master's degree ingénierie mécatronique, robotique et automatisation 5.53/6
    • Ecole polytechnique fédérale de lausanne

      2015 - 2018
      Bachelor's degree ingénierie mécanique
    • Universitat politècnica de valència (upv)

      2017 - 2018
      Bachelor courses

      In the context of the Erasmus exchange program, I had the opportunity to study at a foreign university for one year. This experience taught me a new language and a new culture.

  • Experience

    • Swiss fresh water

      Jul 2018 - Aug 2018
      Summer internship

      Two-stage internship: First, as a Product Designer. The objective was to design a mechanical part in order to test the machines faster.Second, as a market research analyst by developing a survey and going on the field (Sénégal) to train the local teams to use it.

    • Loadsmart

      Mar 2020 - Jul 2020
      Data science intern

      Tasks:- Built an algorithm to classify our tracking signals- Built a model to predict prices for a certain type of shipments

    • Loadsmart

      May 2021 - now

      PM for 3 teams consecutively: - 1 (Now) Responsible for the acquired company Navtrac, a Computed Vision powered Yard management System. - 2 Responsible for user-facing data products. From identifying user needs, building the strategy and distributing data products. The products include: Dynamic Reporting/Monitoring for our TMS, Generative AI data interactions, personalized alert system.- 3 Responsible for ML recommendation engines to match freights' supply and demand optimally Data Science tasks:- Improved an algorithm to optimally pack boxes in a container- Computed and embedded CO2eq estimation for all our shipments - Built and maintained a microservice to (1) Suggest the best shipment modes given a lane (2) Rank quotes by best options based on multiple user-defined criteria.Backend stack:- DRF, celery, docker, CI, Terraform

      • Product manager Data/AI

        Jan 2022 - now
      • Software Engineer

        May 2021 - Jan 2022
  • Licenses & Certifications