Javier is a passionate data scientist who builds data-driven software products and helps organizations transform numbers into optimal decisions. With a multidisciplinary background, he has analyzed highly dimensional datasets and built machine learning models—starting from the research stage to the implementation phase. Javier is careful, very organized, meticulous about planning always focusing on delivering the right solution.
Developed deep learning models that monitor forestry areas using satellite images. The final goal is to monitor forest conditions and to calculate carbon stocks in real-time.
Implemented a back end that performs ETL, machine learning modeling, and serves the results via an API.
Visualized GIS results via Mapbox.
Trained and deployed machine learning models in AWS.
The project answers the following simple question: Can a squirrel cross from north to south Spain without touching the ground?
The answer is: obviously not. But, another question arises, and this one is not so easy to answer: 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?
The answer is not trivial, and it is answered here!
The project consisted of the following steps:
1. Download data from the internet. The data consists of GIS information to determine whether a piece of land is a forest, a river, a man-made construction, and so on.
2. Create a path matrix. The squirrel takes one step at a time. In terms of a raster map, this means we can reach each pixel only from adjacent pixels. Think of it as a huge spare matrix.
3. Optimize the path. Calculate the shortest path from the top of Spain to the bottom. The cost of each segment is the pixel value so forest costs nothing to move across and anything related to water is impossible to cross.
4. Visualize the solution as an interactive map.
A Python package for bundling notifications in event streams. The goal is to minimize the number of notifications sent to users and to not send more than four notifications per day.
Education
Master's Degree in Mathematical Modeling
Technical University of Denmark
2010 - 2012 (2 years)
Master's Degree in Statistics and Operations Research
University of Valladolid
2009 - 2011 (2 years)
Bachelor's Degree in Statistics and Operations Research