Matteo Latinov

Machine Learning Engineer at YANMAR R&D EUROPE S.R.L.
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Florence, Tuscany, Italy, IT
Languages
  • English Native or bilingual proficiency
  • French Native or bilingual proficiency
  • Italian Native or bilingual proficiency
  • German Limited working proficiency
Skills

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
Join now
You need to have a working account to view this content.
Join now

Credentials

  • Spark and Python for Big Data with PySpark
    Udemy
    Feb, 2021
    - Sep, 2024
  • Deep Learning
    Coursera
    Nov, 2020
    - Sep, 2024
  • The Complete SQL Bootcamp 2020: Go from Zero to Hero
    Udemy
    Jun, 2020
    - Sep, 2024
  • Machine Learning
    Coursera
    Apr, 2020
    - Sep, 2024
  • Mathematics for Machine Learning Specialization
    Coursera
    Apr, 2020
    - Sep, 2024
  • Statistics with Python Specialization
    Coursera
    Apr, 2020
    - Sep, 2024

Experience

  • YANMAR R&D EUROPE S.R.L.
    • Italy
    • Research Services
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jul 2022 - Present

      • Regression Machine Learning task of predicting NOx and soot emissions in diesel engines.• Clean architecture and code quality when designing ML systems to reduce technical debt and speed up iteration. • Regression Machine Learning task of predicting NOx and soot emissions in diesel engines.• Clean architecture and code quality when designing ML systems to reduce technical debt and speed up iteration.

  • La Marzocco
    • Italy
    • Machinery Manufacturing
    • 200 - 300 Employee
    • Data Scientist
      • Mar 2021 - Jul 2022

      • Built ETL pipelines to move data from SAP ERP to AWS data lake using SQL and Spark on AWS Glue.• In charge of cloud infrastructure on AWS; develop versioned, modular and reusable modules with Terraform.• Provided Operations with KPIs and dashboards on AWS Quicksight or Tableau to support decision-making.• Responsible for refactoring codebase using best practices such as design patterns, SOLID, PEP8.• Data governance of internal business processes involving Operations, Aftersales, Sales & Marketing.• Data analysis and complex KPI calculation on supply chain data using NumPy, Pandas and Matlplotlib.• Developed an app for parts inventory in Python applying OOP principles and providing adequate documentation.

  • BOBST
    • Switzerland
    • Machinery Manufacturing
    • 700 & Above Employee
    • Presales & Aftersales Engineer
      • Sep 2017 - Mar 2021

      • Oversaw the commissioning phase of machines including organizing logistics and managing technicians.• Collaborated with Bobst local entities to reduce installation costs and better support customers.• Developed a cost estimator for machine commissioning depending on the machine configuration.• Performed demos for customers by presenting IoT products from our Services portfolio.• Organized and directed training sessions for Bobst technicians and customers.• Managed and completely restructured the technical documentation of machines.• Provided remote as well as on-site technical assistance to customers.

  • INEOS
    • Switzerland
    • Chemical Manufacturing
    • 700 & Above Employee
    • Graduate Student Intern
      • Mar 2016 - Jul 2016

      Energy study of the INEOS O&P South polyethylene production site in Rosignano Solvay including an energy review of the actual site and propositions for energy saving scenarios. The study was carried out during a four-month period internship on site and an analysis period of two months at EPFL.

    • Student Intern
      • Oct 2015 - Feb 2016

      Energy study of the INEOS O&P South polyethylene and polypropylene production site in Sarralbe including an energy review of the actual site and propositions for energy saving scenarios. The study was carried out during a four-month period internship on site and an analysis period of two months at EPFL.

  • EPFL (École polytechnique fédérale de Lausanne)
    • Switzerland
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Sep 2014 - Jul 2015

      Teaching assistant in Thermodynamics I & II for mechanical engineers covering topics from the 1st and 2nd principles of thermodynamics to the analysis of thermodynamic cycles and the notion of exergy. Teaching assistant in Thermodynamics I & II for mechanical engineers covering topics from the 1st and 2nd principles of thermodynamics to the analysis of thermodynamic cycles and the notion of exergy.

Education

  • EPFL (École polytechnique fédérale de Lausanne)
    Master of Engineering (MEng), Industrial Energy & Renewable Energy
    2013 - 2016
  • University of Natural Resources and Life Sciences, Vienna (BOKU)
    Bachelor of Engineering (BEng) - Erasmus Program, Hydrology & Environmental Systems
    2012 - 2013
  • EPFL (École polytechnique fédérale de Lausanne)
    Bachelor of Engineering (BEng), Environmental Sciences & Engineering
    2009 - 2013

Community

You need to have a working account to view this content. Click here to join now