Multi-project researcher and project leader at the Credit Scoring team. I specialize in testing and monitoring Machine Learning models used in the financial sector.◦ Led the proofs-of-concept (POCs) of two testing software applications for usein several credit scoring applications. Each POC involved coordinating withindividuals from different projects, preparing and filtering data from threeprojects, testing, and analyzing the results.◦ Prepared and presented an executive report on these POCs to high-level managers in the Tech Division.

Extension of my work as a Research Assistant, incorporating more experiments, datasets and models used.

Collaborative research between AIST and Keio University on Fairness Testing of Machine Learning models with a focus on identifying discrimination. Utilized Python as the primary programming language along with scikit-learn. Led a team of three members and served as the primary researcher.◦ Led the research, including creating the implementation code, conducting experiments, and analyzing results.◦ Published a research paper at the 18th IEEE/ACIS International Virtual Conference on Software Engineering, Management, and Applications (SERA 2021), which was selected as the Best Student Paper.◦ Presented an advanced version of our research, including additional experiments and tested models, in a workshop and a poster conference.

Internship developing a plugin for online assessments, mainly using JavaScript and HTML. An individual project, supervised by the Center for Industrial Electronics at the Technical University of Madrid.

Web development course instructor. Teaching the basics of HTML, CSS, JavaScript and use of Git.