Javier S.

About Me

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.

AI, ML & LLM

Backend

DevOps

Workflow

Other

Work history

Reforestum
Data Scientist
2019 - Present (6 years)
Remote
  • 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.

Siemens Gamesa
Data Scientist
2016 - 2018 (2 years)
Remote
  • Developed a framework consisting of a database, an app, and a dashboard in order to let users predict the performance of wind turbines.

  • Analyzed data from measurements and detected possible misalignments with the expected behavior.

  • Extracted meaningful information from multi-dimensional datasets.

  • Communicated the results and statistical terms to electrical engineers and sales officers in a clean and concise manner.

  • Read, studied, and kept up to date with current ISO standards.

  • Quantified the risk of different warranty strategies.

PandasData ScienceMathematical Modeling Machine LearningSQLMatlabRStudio Shiny R
Technical University of Denmark
PhD Candidate
2013 - 2016 (3 years)
Remote
  • Developed models for decision making under uncertainty, based on stochastic optimization techniques.

  • Built-up a new type of forecasting modeling framework that was based on inverse optimization techniques and machine learning principles.

  • Extensively used R for data processing and GAMS-CPLEX for building optimization models.

  • Used a cloud computing framework for parallelizing the calculations.

  • Presented the research topics and results in international conferences in Lisbon, Glasgow, and Philadelphia.

  • Published four articles in well-ranked journals.

  • Worked as a visiting scholar at the University of California for four months.

Data ScienceMathematical Modeling Operations Research Machine LearningR
Minsait
Data Scientist Consultant
Present (2025 years)
Remote
  • Identified potential business cases where machine learning models could bring value to the clients.

  • Participated in the research, development, and implementation of predictive maintenance models of ATMs for one of the biggest banks in Europe.

  • Developed dashboards and interactive graphs.

TecDeSoft
Data Scientist
Present (2025 years)
Remote
  • Created business value with available data from existing clients, focusing on data-driven action.

  • Implemented predictive maintenance of factory areas and optimal scheduling of hydroelectrical power plants.

  • Taught my colleagues the principles of data science and machine learning.

PandasData ScienceMathematical Modeling Machine LearningOptimization SQLPython

Showcase

Squirrel Problem
  • The project addresses a simple question: Can a squirrel cross from north to south Spain without touching the ground?

  • The project involves creating a path matrix to determine the optimal route for a squirrel to travel from north to south.

  • The solution involves analyzing and optimizing the path of the squirrel using raster data and cost calculations.

Notification Bundler
  • A Python package for bundling notifications in event streams.

  • The goal is to minimize the number of notifications sent to users.

  • It limits the number of notifications sent per day to four.

Education

Education
Master's Degree in Mathematical Modeling
Technical University of Denmark
2010 - 2012 (2 years)
Education
Master's Degree in Statistics and Operations Research
University of Valladolid
2009 - 2011 (2 years)
Education
Bachelor's Degree in Statistics and Operations Research
University of Valladolid
2006 - 2009 (3 years)