Description

I have developed ML models for several companies from different areas. I have worked mostly in banking and debt collection sectors, applying classification and regression models to solve business issues like default, pricing and optimization.

I have experience working with tools like Python, R, SQL, SAS, SPSS Modeler, Tableau, Shiny, Spark, etc. I am able to work with different programming languages, as you can see, and I enjoy learning new ones. I have also worked in the cloud using Google Cloud Platform and Azure, developing ML, Computer Vision and NLP models using cloud resources.

Languages

Spanish
Native or bilingual
English
Fluent
French
Conversational

Workplace preferences

Can work on-site

Madrid (up to 50km)

intrum
Data Scientist
BANKING AND INSURANCE
March 2022 - Today (4 years and 4 months)
Madrid, Spain
Data Scientist position developing ML models, extracting and processing data with SQL and measuring results with A/B testing.
SQL Python A/B Testing Machine Learning Impala
NTT Data
Data Scientist
BANKING AND INSURANCE
February 2021 - February 2022 (1 year and 1 month)
Madrid, Spain
Data Scientist position applying ML models for banking. I have participated in projects developing predictive models for pricing, using R to train the models and creating a package as a final solution for the client.
R Shiny Python SQL Machine Learning Microsoft Excel Pricing Consultoría
SAS
Data Scientist - Presales
BANKING AND INSURANCE
August 2020 - February 2021 (6 months)
Madrid, Spain
Data Scientist position in presales department developing ML models for banking and insurance companies. My work was to create ML models to show the capabilities of SAS Viya software, in order to sale the product to the companies.
SAS Python R SAS Viya Data Visualization SQL PostgreSQL