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👋 Hello, I'm Javier

I'm a data scientist with 8+ years of experience in projects related to data, machine learning, and programming.

In brief, my experience can be summarized as follows:

  • 🌱 3+ years working as a data scientist & ML engineer at a startup, dealing with satellite images, computer vision, geospatial algorithms, backend development, databases, and product ideation.
  • 📶 1 year as a consultant and freelance developer, creating backends for apps and prototyping various products, such as predicting factory failures and recognizing birds from songs.
  • 💨 2 years as a wind turbine warranty engineer, predicting future wind energy production.
  • 🔬 3 years of doctoral research at the Technical University of Denmark, investigating new forecasting and optimization techniques applied to electrical markets.

People say I'm careful, organized, write good code, learn quickly, and always focus on delivering the right solution. I value open and honest communication.

💬 How can I assist you?

Occasionally I do freelance projects, check out my profiles in Toptal and Malt. Examples of the work I can do:

  • 📈 Anything related to data: extraction, cleaning, storage, automation... data engineering.
  • ✨ Development of machine learning products: time series prediction, computer vision, deep learning, NLP, you name it. From a prototype and feasibility analysis, all the way to cloud deployment.
  • 🦿 Development of APIs and backend.
  • 🖥️ Prototyping web applications.

📫 How to reach me

jsga's Projects

awesome-earth icon awesome-earth

"What can I do about the climate crisis?" Here are 326 things you can do.

doc2md icon doc2md

Python docstring to markdown converter [very lightweight and specialized for personal usage]

donquijote_rnn icon donquijote_rnn

Generate new chapters of "Don Quijote" (Cervantes) using Recurrent Neural Network

globcover_maps_squirrel icon globcover_maps_squirrel

If a squirrel had to go from the north of Spain to the south, touching the ground as little as possible: which way would it follow?

keras-yolo2 icon keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

r_to_gams icon r_to_gams

This repository contains fuctions to facilitate the transfer of data between R and GAMS through the creation and reading of GDX files. A sample project is included to illustrate the operation of the developed functions.The functions have been developed in collaboration with Javier Saez Gallego.

shinyfiddle icon shinyfiddle

Allows the user to change several properties from elements in a R-shiny app.

spotify_flask_plotly icon spotify_flask_plotly

Gathers the user's data from Spotify API and produce some interactive visualization with plotly

stern icon stern

⎈ Multi pod and container log tailing for Kubernetes

tnt icon tnt

Simple tools for logging and visualizing, loading and training

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