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AlbertoPad/README.md

Hi 👋, I am Alberto Padilla

albertopad

A passionate about data and predictive models.

  • 🌱 Recent graduate of Assembler Institute - Master of Technology. Data Scientist.

  • 🤔 I have experience in:

    Arcelormittal Basque Country Research Centre (2021).
    Technician in Data Analysis and R&D
      -Data analysis: from EAF with Excel and Minitab. Design of applications with VBA and use of macros for 
      calculations and projects required. 
      -R&D projects related to digital vision. 
      -Research on EAF and materials used in steel fabrication. 
    
    Hijos de Juan de Garay S.A. (2019-2020).
    Process Engineering and Continuous Improvement.
      - Process improvement: Analysis of SAP (Excel) data for improvement in machines and working methods, testing, 
      analysis of results, documentation and final implementation 
      - Surface quality control: Study, analysis... 
      - Data collection and analysis. Analysing factory data obtained by SAP with Excel.
      Data collection during manufacturing.)
    
  • 🔭 My professional interests are focused on: Data Scientist - Data Analyst - Predictive Models

  • ⚡ Fun fact I'm a big lover of bonsai art, as well as, old Rock 'n Roll. I also like dance lindy hop (music from the 20's, 50's...).

  • These are the languages and Stats:

Top Langs

Overall Stats

  • Some projects I am proud of:

ReadMe Card

ReadMe Card

Connect with me:

/albertopadillanieto/ 20320355/alberto-mack albertomack.padillanieto/

Languages and Tools:

cplusplus java matlab mongodb mysql pandas python seaborn numpy sqlite tensorflow

Popular repositories Loading

  1. Emotions_Recognition_Generator Emotions_Recognition_Generator Public

    The main objective of this project is to recognise positive, negative and neutral emotions (CNN). Creating artificial signals using generative adversarial networks (GANs)

    Jupyter Notebook 5 2

  2. Theory-n-Helps Theory-n-Helps Public

    The repository focuses on theory files and links to external resources that can be of great help to the learning process.

    Jupyter Notebook 1

  3. MySQL-JSON MySQL-JSON Public

    Create an invented database, to work with JSON in MySQL and see its limitations.

    Jupyter Notebook

  4. AlbertoPad AlbertoPad Public

    My public profile

  5. Albert_Library Albert_Library Public

    Python

  6. Deep_Learning_Project Deep_Learning_Project Public

    Creation of a Neural network to identify radiographs with and without PNEUMONIA.

    Jupyter Notebook