Multi-disciplinary professional, deeply intrigued by the process of learning and passionate about telling stories through data.

Strong statistical and mathematical background, as well as experience applying data science techniques to solve complex problems.

Developed a very wide skill set, ranging from computer science and design to multimedia creation and processing; either through professional software or custom programming.

  • Art director and mathematical animator at Reducible
  • November 2021 - Present
    • Creation and production of insightful, computer science based animations and designs as part of Reducible's team
    • Using Manim to develop incredibly powerful and detailed explanations about CS concepts in an attractive visual way
  • Freelance mathematical animator
  • Remote
    • Created engaging animations earning views as part of the Veritasium Creative team
    • Using Manim to create beautiful, captivating animations about mathematical concepts
    • Worked closely with the team developing a great sense of teamwork and learning how to apply feedback to the work
    • More of the work I've done as a freelancer can be found in my Portfolio as well as my Blog, for a deeper dive on some concepts
  • Data analyst and engineer
  • January 2021 - May 2021
    Universidad de Jaén
    • Helped shedding a light on how the concept of biodiversity is understood in social media.
    • Pre-processing and engineering of PLN based datasets.
    • Helped supporting management's decision making regarding sales using ggplot2 in R
    • Data labeling through machine learning based clustering algorithms, using Python, Spacy and NLTK
  • Intern data engineer
  • September 2019 - May 2020
    Universidad de Jaén
    • Assisting and learning in the process of gathering and arranging data
    • Built tools for client tracking and management
  • MSc in Data Science
  • September 2020 - Jun 2021
    Universidad de Granada
    • Thesis in NLP based transformer to generate medical comments and evaluate the performance of state of the art medical-text classifiers.
    • GPA 8.5/10
    • Coding of advanced data mining algorithms using Python and R.
    • Tidyverse, ggplot2, Spacy, Keras/Tensorflow.
    • Statistical models, regression, fuzzy logic, data mining algorithms, clustering and classification.
  • BSc in Computer Science
  • September 2016 - Jun 2020
    Universidad de Jaén
    • Maximum grade in bachelor's thesis building a convolutional autoencoder to detect anomalies in images for the WWF using Tensorflow and OpenCV.
    • GPA of 7.5/10 and passed with honors Image Processing and Data Engineering.
    • Data structures and Algorithms using C++ and Python, Artificial Intelligence, Operating Systems.