Experience

  1. Research Assistant - Data Analyst

    University of Southampton, UK
    • Led data collection and cleaning efforts, ensuring data accuracy and completeness for operational analysis.
    • Conducted statistical analysis using Python, identifying key trends and patterns to support strategic decisions in quality performance.
    • Worked with UN Comtrade API for data cleaning and statistical analysis of database data, including unsupervised Machine Learning.
  2. Data Scientist

    OmegaLambdaTec GmbH, Germany
    • Optimized AIS data processing, significantly improving the accuracy of ETA predictions and contributing to cost savings.
    • Utilized unsupervised machine learning techniques to derive actionable insights, improving operational efficiency and reducing fuel consumption.
    • Presented analysis findings to cross-functional teams, supporting a data-centric decision-making culture.
  3. Exotics Derivatives Trader

    Santander Bank, Spain
    • Designed and implemented Python-based automation tools for trading operations, reducing manual errors and improving task efficiency.
    • Conducted thorough market data analysis, leveraging quantitative models to optimize trading positions and identify profitable opportunities.
    • Assisted in data trading and market analytics in the trading table, overseeing market triggers and movements to calculate best stock, futures and exotics derivatives prices for the brokers.

Education

  1. PhD Astrophysics

    University of Southampton, UK
    Dissecting the origin of obscuration in AGN via comprehensive semi-analytic and semi-empirical orientation and evolutionary models. Supervised by .
    Read Thesis
  2. MSc Astrophysics

    Complutense University of Madrid, Spain
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  3. BSc Physics

    University of Salamanca, Spain
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Skills & Hobbies
Technical Skills
Python
Data Science
SQL
Hobbies
Music
Reading
Movies/series
Awards
Marie Curie
Coursera ∙ November 2023
I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.
Blockchain Fundamentals
edX ∙ July 2023

Learned:

  • Synthesize your own blockchain solutions
  • Gain an in-depth understanding of the specific mechanics of Bitcoin
  • Understand Bitcoin’s real-life applications and learn how to attack and destroy Bitcoin, Ethereum, smart contracts and Dapps, and alternatives to Bitcoin’s Proof-of-Work consensus algorithm
Object-Oriented Programming in R
datacamp ∙ January 2023
Object-oriented programming (OOP) lets you specify relationships between functions and the objects that they can act on, helping you manage complexity in your code. This is an intermediate level course, providing an introduction to OOP, using the S3 and R6 systems. S3 is a great day-to-day R programming tool that simplifies some of the functions that you write. R6 is especially useful for industry-specific analyses, working with web APIs, and building GUIs.
See certificate
Languages
100%
Spanish
100%
English
25%
Italian