Description

Entusiasta de los datos y del Machine Learning, he desarrollado modelos para el CERN, donde ayudaba a predecir fallos en los discos duros donde se almacenaba la información del LHC, y para Draper & Dash, en Londres, ayudando a los hospitales de Inglaterra y Gales a predecir desde el número esperado de emergencias en un día hasta la estancia esperable de un paciente el día de su ingreso.

Languages

Spanish
Native or bilingual
Galician
Native or bilingual
English
Fluent
Japanese
Conversational
Portuguese
Fluent
French
Conversational

Workplace preferences

Can work on-site

Madrid (up to 50km)

Freelance
ML Engineer
March 2021 - Today (5 years and 3 months)
Managed, coordinated and led Machine Learning, AI and Data Science teams. Developed projects from planning to deployment for companies such as Sanius Health (Healthcare), RWHealth (Pharma), Peach (Publicity), or Research for Purpose (Working with UNICEF and the World Bank).
Projects developed using R, Python, SQL, AWS, Azure, OpenAI and Mistral, among other technologies.
Machine Learning AI Python (langage de programmation)
Draper&Dash,
Data Scientist / Machine Learning Engineer
December 2018 - February 2021 (2 years and 2 months)
London, UK
Developed healthcare data prediction algorithms and created custom models for the British National Health System (NHS). Project developed using R, Python, SQL, Qlik and Powershell.
CERN,
Data Scientist / Machine Learning Engineer
October 2017 - October 2018 (1 year)
Geneva, Switzerland
Duties included developing an automated system of prediction of failure in Hard Drives and SSDs in CERN's data centre, using multivariate time series forecasting, as well as SMART variables. Project developed using R, Python, SQL, Spark and HDFS. Presented findings at CHEP 2018 (Conference in High Energy and Nuclear Physics) at the National Palace of Culture in Sofia, Bulgaria