• RESUME

  • Education

    MSc. in Data Science ·

    Columbia University

    Degree Expected, Dec 2016

    New York, USA


    BSc. in Applied Mathematics ·

    ITAM

    2010 - 2012

    Mexico City, Mexico


  • Work Experience

    Data Scientist ·

    Sinnia

    2012 - 2015

    Mexico City, Mexico

  • Courses and Certifications

  • Key Courses

    Columbia University

    • Machine Learning for Data Science (2016)
    • Computer Systems for Data Science (2016)
    • Exploratory Data Analysis and Visualization (2016)
    • Social Network Analysis (2016)
    • GIS Spatial Data Analysis (2015)
    • Q&A for IBM Watson (2015)

    ITAM

    • Machine Learning (2012)
    • Time Series Analysis (2012)
    • Survival Analysis (2012)
    • Numerical Optimization (2012)
    • Bayesian Statistics (2012)
    • Simulation (2012)
    • Statistical Learning (2011)
  • Certifications

    Data Science Specialization ·

    Johns Hopkins University via Coursera

    2015

    Machine Learning Summer School ·

    Carnegie Mellon University

    2014

    Tackling the Challenges of Big Data ·

    MITx

    2014
  • Projects

  • Microsoft Prize Winner at the DevFest 2016 Hackathon at Columbia University

    Explore and analyze the variation in presidential candidates' emotions during debates. For that matter, we took as a sample the debate between Hillary Clinton and Bernie Sanders, which took place on February 4th, 2016. This project relies heavily on the following APIs:
    · Microsoft® Project Oxford Video API
    · Microsoft® Project Oxford Emotion API
    · Alchemy® Entity Extraction API

    Q&A for IBM

    Developing Data Products Course by Johns Hopkins via Coursera

    Analysis of social exclusion (marginalization) in Mexico.
    Visualize · contains tools to visualize the marginalization variables in the map.
    Create Index · contains tools to create a marginalization index using variables chosen by the user.
    Clusterize · contains tools to cluster similiar states into groups.

    Finalist in the National Data Science Competition 2014 in Mexico.


    Link: dataton.datos.gob.mx/
    Analyse tourism flows in Mexico using data from 9 million tweets.
    Provide an overview of the touristic experience using sentiment analysis.
    Create engaging and interesting interactive visualisations

  • Skills

  • Informatic

    R
    90%
    Python
    80%
    MySQL
    75%
    Spark
    70%
    Scala
    70%
    MongoDB
    60%
    RoR
    60%
    HTML
    60%
    Javascript
    50%
  • CONTACT

  • Contact Info