About me

Data Scientist specialised in GenAI, Machine Learning and Statistical Learning.

Experience in developing end-to-end AI and Machine Learning solutions, as well as training LLMs, RAGs and agentic automation.

Experience

Capgemini: Associate Data & AI Engineer

2024 — Present

Deloitte: Intern

Feb 2023 - May 2023

- Development of an application with AI and ML for the detection of anomalous traffic in UDP connections, reaching a recall of +95%.

- Training from scratch of an LLM based on Llama3 for an internal project.

Process automation and reporting using Python and SQL for international insurance company.

Education

UC3M: MSc in Statistics for Data Science

Master Thesis: SFPLSIM Model with MAR responses. Grade: 9.5

Sep 2023 - June 2024

URJC: BS In Mathematics

Sep 2019 - June 2023

Thesis: K-Means study with different metric fuctions. Grade: 9.3

Tech

Python: PyTorch, Scikit-Learn, pandas, boto3, LangChain, matplotlib, Transformers, ollama.

AWS: Sagemaker, Bedrock, EC2, S3, MongoDB, Route53.

R, Linux, LaTex.

C1 English, Spanish native.