Projects

Fine-tuning an LLM to guess Harry Potter characters

Starting from DistilBERT for Sequence Classification, available in Hugging Face, I trained my instance of this LLM model to guess what Harry Potter character said which line. I am currently working on reducing the model's overfitting.

  • Python
  • PyTorch
Fine-tuning LLM

Deep learning for rib fracture detection in postmortem CT scans

This is my second publication as Research Assistant in the University of Geneva. I used an existing object detection model, nnDetection, to detect rib fractures in postmortem CT scans. I compared the results to the same model trained with a clinical CT scan dataset to identify the main factors of domain shift between clinical and postmortem CT data.

  • Python
  • PyTorch
PMRF annotation PMRF detection

Time-series analysis on Air Passengers dataset

In this project, I have explored the main models that exist for time-series analysis, from ARIMA models to an LSTM.

  • Python
  • PyTorch
  • Scikit-learn
TSA

Work Experience

About

I have studied Mathematics and Physics in the Universitat Autònoma de Barcelona, where I have discovered my passion for Statistics, Data Analysis and programming. With experience as a Data Scientist at HelloFresh, in London, and as a Deep Learning Research Assistant at the University of Geneva, I am always thrilled to develop my problem-solving skills with new data challenges.

My Resume