Ramiro Mejia

Ramiro Mejia

About me

I have over six years of hands-on experience in delivering data-driven solutions, employing an extensive toolkit of software and cutting-edge technologies. I have a proven track record of success in developing and maintaining end-to-end data pipelines and models. I possess experience in data engineering, machine learning, analytics, and cloud computing.

Interests
  • Machine Learning
  • Deep Learning
  • Cloud Computing
  • Data Engineering
Education

  • Master in Data Science, 2022

    The University Of British Columbia

  • MSc in Econometrics, 2018

    University Of Amsterdam

  • BSc in Economics, 2016

    PUCE Ecuador

Skills

R Project
Python
Statistics
SQL
Machine Learning
Econometrics

Accomplish­ments

Coursera
Machine Learning Engineering for Production (MLOps) Specialization
Coursera May 2022
End-to-end Machine Learning production system.
The Ultimate Hands-On Hadoop
Udemy May 2022
Data Engineering and Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra.
Spark and Python for Big Data with PySpark
Udemy Apr 2022
Using Spark to wrangle big data and running Machine Learning models.

Projects

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Forecasting with Ensembles and LSTM
Compared the forecasting accuracy for a stock closing price using a machine learning ensemble against a LSTM artificial recurrent neural network.
Repository
Forecasting with Ensembles and LSTM
Generative Adversarial Network - Fake Houses
Implemented a neural network to create artificial thumbnail images of houses.
Repository
Generative Adversarial Network - Fake Houses

Contact