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My name is Paul Torres.

I used to work in Physics with a focus on atmospheric physics research before I turned to focus full time on Data Science. I am interested in telling stories using data. I spend my time learning new topics about machine learning and writing articles on Medium about the techniques that I learn.

I've written articles on everything from past projects, to algorithm review for further learning, to deep learning concepts like pseudo-supervised learning and I look to continue to learn by doing and passing on that knowledge to the wider community.

As a former research scientist, I've found that exploratory analysis and using the data to build a narrative are the most exciting aspects of data science.

Projects I am currently working on include:

  • Tanzanian Water Pump Hackathon
  • Automated text extractor for transferring information from a detailed report to tabular sheet format
  • Topic Modeling and Basic NLP Analysis of the Harry Potter Series

You can also find me at:

  • LinkedIn LinkedIn
  • Medium Medium
  • Twitter Twitter

Paul Torres's Projects

dat5 icon dat5

General Assembly's Data Science course in Washington, DC

ds_movie_eda icon ds_movie_eda

Preliminary exploratory data analyses using various movie data with intention to make business recommendations for new movie studio.

dsonmacarm icon dsonmacarm

My notes on how I created my Data Science environment on macOS ARM

end-to-end-time-series icon end-to-end-time-series

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

nyc_food_deserts icon nyc_food_deserts

Web scraping data in order to cluster and classify food deserts in New York City.

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