Luis Marcelo

Developed predictive analytics models for a trading platform, improving prediction accuracy by 12%. Created production-ready code using Python, machine learning, and MLOps, while executing analytical queries with SQL/PostGIS.

Collaborated with a medical team to develop a machine learning model for simulating wall shear stress and pressure fields in coronary arteries. Utilized machine learning, Python, TensorFlow, and MLOps for this AI project.

Led the implementation of a face detection and verification API using Python, computer vision, and machine learning. Compared face images to passport and ID card images, and used OCR to extract text from documents.

Analyzed financial data and developed machine learning models to gain insights and patterns from spread betting operators. Developed time series models to detect fraudulent transactions.

Contracted by the Medical Imaging Division to design and implement software for classifying atherosclerotic plaques in intracoronary optical coherence tomography images. Utilized computer vision, machine learning, and deep learning, with software written in Python, SQL, and C++.

Worked on various data science projects, including requirements analysis, data modeling, and implementation of a revenue sharing system using Bayesian Networks. Designed and implemented an ETL data warehouse solution with Hadoop/MapReduce and SQL for global reporting.

Joined a full-time PhD program in the Engineering, Science and Built Environment Faculty, focusing on research in artificial intelligence and Bayesian Networks. Developed an intelligent system using Java.

Developed interactive, multi-user web-based systems with database back-ends and led a small team of developers. Designed software solutions using Object-Oriented Design methods like Model-View-Controller and N-tiers, and used Entity-Relationship diagrams and SQL for database design.

Designed, implemented, and maintained a currency exchange system using Visual C++ and databases. This system collected, processed, stored, and distributed information to offices across the UK and Europe.

Currently pursuing a Master of Science in Data Science, focusing on advanced data analysis techniques and machine learning applications.

Completed a Master of Science in Artificial Intelligence, gaining expertise in various AI methodologies and their practical implementations.

Obtained a Bachelor of Science in Mathematics from UNED, focusing on foundational mathematical principles.

Earned a Master of Science in Computer Systems and Networking, specializing in the design and management of complex computer networks.

Completed a Bachelor of Science with Honours in Software Engineering, developing strong skills in software design, development, and project management.