Miguel Diaz

Data scientist at kubo.financiero
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Contact Information
us****@****om
(386) 825-5501
Location
Mexico City Metropolitan Area, MX
Languages
  • English Professional working proficiency
  • Chinese Elementary proficiency
  • French Limited working proficiency

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Credentials

  • Hands-on AI projects
    Ai Lab School
    Jan, 2021
    - Nov, 2024
  • Data Science Nanodgree
    Udacity
    Dec, 2020
    - Nov, 2024
  • Data Structures & Algorithms
    Udacity
    Dec, 2020
    - Nov, 2024
  • Intermediate Python
    Udacity
    Dec, 2020
    - Nov, 2024
  • Machine Learning Nanodegree
    Udacity
    Dec, 2020
    - Nov, 2024
  • SQL
    Udacity
    Dec, 2020
    - Nov, 2024

Experience

  • kubo.financiero
    • Mexico
    • Financial Services
    • 100 - 200 Employee
    • Data scientist
      • Jun 2019 - Present

      • Understood the business objectives and developing models to achieve them, along with accurate scores in order to test the results and deploy models in production. • Ran test, performed statical analysis, and interpreted test results for the marketing, fraud and origination departments. • Designed supervised and unsupervised machine learning models for different department priorities. • Researched and implemented new methodologies, algorithms and programming skills for optimization and continuous deliveries. • Worked with different partners to test new data and technologies (Lexis Nexis, Tiacsa, Buro de Credito, Circulo de Credito, SparkCognition, H2O, GCP, etc.). Show less

  • Data Science Academy Mexico
    • Mexico
    • IT Services and IT Consulting
    • Data scientist Intern
      • Dec 2018 - Jun 2019

      • Verified data quality and ensuring it by data exploration and data cleaning. • Explored large, complex datasets to extract insights and decide on the appropriate learning infrastructure to gain understanding of the customer’s business problems. (Intrinseca, fxDalmond) • Used data modeling and evaluation strategies to find patterns, predict complex features and improve the quality of data. • Collaborated in 3 projects to predict, segment and explore business necessities. Used Regression, PCA and K-means and Data Exploration and Feature Engineering. • Improve understanding of customer needs and target business data problems. Show less

  • Facultad de Ciencias, UNAM.
    • Mexico
    • Higher Education
    • 500 - 600 Employee
    • Research Assistant
      • Jul 2018 - Dec 2018

      • Collected, prepared and analyzed data from different sources for weekly reports. • Researched economic data to forecast market trends for internal departments. • Developed macros to analyze financial data and worked with regression models. • Worked closely with college faculties to have proper research resources available for specific research projects. • Worked forecasting models in R language: Arima and Box-Jenkins multivariate. • Collected, prepared and analyzed data from different sources for weekly reports. • Researched economic data to forecast market trends for internal departments. • Developed macros to analyze financial data and worked with regression models. • Worked closely with college faculties to have proper research resources available for specific research projects. • Worked forecasting models in R language: Arima and Box-Jenkins multivariate.

Education

  • Universidad Nacional Autónoma de México
    Bachelor of Economics, Economics
    2014 - 2018
  • Instituto Politécnico Nacional
    Diploma of Education, Big Data
    2019 - 2020

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