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Diego Quintana Valenzuela

Diego Quintana Valenzuela

Master in Informatics and Data Science and Electrical Engineer

ES
Alemán, Catalán, Spanish, English

Background


About

About

Software Developer and Electrical Engineer, with experience in web development, data science and project engineering.

Work Experience

Work Experience

  • Project Technician, Aiguasol.coop

    Mar, 2022 - Present

    • Software developer for different projects at national and international scope

    • End to end design, development, testing and deployment of REST API services and packaging of internal libraries

    • Data analysis and machine learning applications

    • Update existing legacy code into maintainable projects

    • Technical support in the development of project proposals and tender applications

  • Python Developer, CIAE Universidad de Chile

    Nov, 2017 - Sep, 20191 year 10 months

    Python developer and data scientist

    • Backend python developer and data engineer, with experience in public and private research projects related to education and social development.

    • Developed extensible python ETL pipelines for cleaning and validating data obtained from the public sector in Chile.

    • Participated as a teacher assistant in a training course on "Data Science and Public Analytics" for people of the Chilean Department of Social Development (English for Ministerio de Desarrollo Social), funded by the Inter-American Development Bank (BID).

    • Designed and developed a web application to manage visualizations related to the Public Education Sector in Chile, using Flask and React.

  • Project Engineer, ABB

    Aug, 2015 - Jun, 20171 year 10 months

    Project Engineer in Power Systems Automation and Control projects

    • Technical Leader in Power Systems Automation, Control and Protection Projects

    • Management and support during assessment of technical design and specifications, project planning, quotation and manufacturing

    • Technical support for the market development of ABB Digital Substations and IEC 61850 based solutions, participating in workshops and technical training sessions.

  • Internship, ABB

    Jan, 2015 - Jul, 20156 months

    Internship in the Power Grids - Grid Automation division of ABB Chile

    • Factory Acceptance Tests of ABB's Power Grids Automation and Protection Systems

  • Intern, SAESA S.A.

    Jan, 2011 - Mar, 20112 months

    • Developer of MV engineering projects

  • Salesperson, Sodimac Chile

    Dec, 2009 - Mar, 20103 months

  • Intern, TELECSA S.A.

    Dec, 2007 - Mar, 20083 months

    Requirement for obtaining the electrician degree

    • Maintenance of MV and LV transformers and switchgears

Skills

Skills

  • Software Engineering
  • (R+D)
  • Windows
  • Debian
  • Python
  • PyTorch
  • Docker
  • Machine Learning
  • Data Science
  • Git
  • R
  • SQL
  • Extract, Transform, Load (ETL)
  • Data Engineering
  • Deep Learning
Education

Education

  • Data Science, Master in Research and Innovation in Informatics - Data Science (MIRI-DS), Universitat Politècnica de Catalunya (UPC)

    Sep, 2019 - Oct, 2021

  • Ciencias de la computación, Diplomado Big Data, Pontificia Universidad Católica de Chile

    Dec, 2017 - Dec, 2017

  • Electrical Engineering, BSc Electrical Engineering, Universidad de la Frontera

    Mar, 2008 - Dec, 2014

  • Elektrotechnik, , Ruhr-Universität Bochum

    Dec, 2013 - Dec, 2014

  • Electrician, High School Diploma, Liceo Industrial Osorno

    Mar, 2004 - Dec, 2007

Certificates

Certificates

Awards

Awards

  • ABB Hackathon 2017 - Most Innovative Project , ABB

    Awarded on: Feb 28, 2017

    Winner of the 'Most Innovative Project' Award for a Project along with two teammates. The project was finished during the ABB Hackathon 2017 Competition held worldwide for ABB employees, and it was based on an Arduino nano board and a ESP8266 chipset, using an IoT web platform and a C# based client. The prototype was developed in two days.

  • FSDL 2022 - Featured capstone project , fullstackdeeplearning.com

    Awarded on: Oct 01, 2022

    Capstone project featured on the FSDL website, about active learning and weak supervision.