Fernando García Sanz

Machine Learning Scientist II - Expedia Group
MSc in Machine Learning by KTH

  • You can find my published papers under Papers.
  • Check out some of my personal and academic projects under My Projects.

Geneva, Switzerland

About Me

As a Machine Learning Scientist at Expedia Group, my focus is on developing recommendation systems within the lodging and travel environment. I work with big amounts of distributed data, build and evaluate machine learning models, and analyze user behavior to improve the performance of these systems.

With a BSc in Computer Science from the University Carlos III of Madrid and an MSC from KTH Royal Institute of Technology, I have a strong foundation in computing and a deep understanding of machine learning techniques.

In addition to my technical skills, I am fluent in English, Spanish, and French, which allows me to effectively communicate with teams and partners from around the world.

As a lifelong learner, I constantly seek new challenges and opportunities to expand my skills and expertise. I am passionate about technology and innovation and strive to make a meaningful impact on the industry.

Papers

Published papers written by me can be found below:

My Projects

GitHub repositories I am currently focused on. Check out my main projects in the pinned section of my GitHub profile and most of the finished ones under the different organizations.

Implementation of the Relevance Vector Machine and comparison with Support Vector Machine for regression and classification tasks.
Python 5 4
Final project of the KTH DD2412 - Deep Learning, Advanced course.
Python 5 4
Simplified replication of Attention Augmented Convolutional Networks.
Python 2 2
KTH Artificial Intelligence (DD2380) final project VRP implemented in IP, PDDL, and RL.
Music Genre Classifier which employs different methods, from SVM and K-NN to Convolutional Networks.
Jupyter Notebook 0 1
Prediction of basketball games outcome.
Jupyter Notebook 0 0

Technologies

These are the technologies I am most proficient at: