D

Diego Rodolfo Vargas Vega

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Jalisco, Mexico

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Résumé


Jobs verified_user 0% verified
  • Oracle
    Associate Consultant
    Oracle
    Jan 2025 - Current (4 months)
    As an Associate Consultant my focus was to optimize business processes. committed to the continuous improvement of processes and systems as well as the implementation of solutions that maximize performance and operational efficiency.
  • Deloitte
    Analyst
    Deloitte
    Jul 2024 - Nov 2024 (5 months)
    As a Salesforce analyst I focused into the configuration and customization of the platform to optimize business processes. Responsible for analyzing data and generating reports for decision making, Committed to continuous improvement of the system and the implementation of solutions that maximize performance and operational efficiency.
  • TRUSOT Group
    IT Technical Support
    TRUSOT Group
    Mar 2024 - Jun 2024 (4 months)
    As an IT support, my main role was providing technical assistance to users via ticketing system, resolve IT incidents, and offer solutions to ensure the proper functioning of systems. I diagnose faults, configure software and hardware.
Education verified_user 0% verified
  • O
    ORACLE FUSION DATA INTELLIGENCE 2024 IMPLEMENTATION CERTIFIED
    Mar 2025 - Current (2 months)
  • P
    PYTHON ESSENTIALS 1 INTRODUCTION TO DATASCIENCE GOOGLE CLOUD COMPUTING FOUNDATIONS AWS CLOUD PRACTITIONER ESSENTIALS
    Oct 2023 - Current (1 year 7 months)
  • F
    VERSION CONTROL (GIT)
    Fundacion Carlos Slim
    Oct 2023 - Current (1 year 7 months)
  • S
    SCRUM FUNDAMENTALS CERTIFIED
    Scrumstudy
    Oct 2023 - Current (1 year 7 months)
  • Universidad de Guadalajara
    Bachelor's Degree
    Universidad de Guadalajara
    Mar 2020 - Dec 2024 (4 years 10 months)
  • Centro Universitario UTEG
    Bachelor's Degree
    Centro Universitario UTEG
    Mar 2020 - Dec 2023 (3 years 10 months)
    programación, redes, algebra booleana, etc
Projects verified_user 0% verified
  • S
    SIS 360
    Jan 2023 - Mar 2023 (3 months)
    that allows identifying 3 types of pests in sunflowers through image classification. The network was trained with machine learning and allows us to validate if the sunflower is infected through photos, carried out with python, flask, tensorflow, keras.