QUANT AI Lab
Luis Alcalá Pérez has a diverse range of work experience in various industries. Luis started their career as a Secretario in the Subdirección de Empresas at Fundación Servipoli in June 2018. In September 2018, they worked as a Supervisor de recogida de datos at the same organization.
In 2019, Luis joined Servipoli as a Técnico de Apoyo en la UPV, where they were responsible for managing and organizing the Casa del Alumno UPV and handling event administration and organization.
In January 2020, Luis worked as an Estudiante en prácticas at Hospital Clínico Universitario de Valencia, gaining practical experience in the medical field.
From December 2020 to September 2021, Luis worked as a Data Scientist at CSIC Neurorehabilitation. Luis participated in the SALOEXO European Project, where they utilized Neural Networks and ML classic models to assess comfort from multiple sensor data.
Luis then joined Minsait in May 2021 as a Healthcare IT Analyst. In this role, they provided technical and analytical support to public hospital laboratories, implemented upgrades in health information systems, and conducted user training.
In October 2021, Luis worked as an AI Software Developer at ELITE SPORTS 17 S.L. Here, they developed software using Python for Object Detection and Object Tracking, performed image analysis and segmentation, and extracted insights from large datasets.
Currently, Luis is working at QUANT AI Lab as a Data Scientist. Luis applies multiple AI techniques to process and analyze sport, retail, and banking related data. Additionally, they serve as a professor at BBVA University, teaching Data Science courses. Luis utilizes Azure tools for model training and production.
Overall, Luis Alcalá Pérez has gained experience in data science, AI software development, healthcare IT analysis, and event management, showcasing their versatility and adaptability in various roles.
Luis Alcalá Pérez's education history begins in 1999 at Lyçée Français de Valence where they attended school until 2014. During this time, no specific degree or field of study is mentioned.
From 2015 to 2020, Luis studied at the Universitat Politècnica de València (UPV) where they completed their Bachelor's degree in Biomedical Engineering. Their field of study focused on biomedical and medical engineering.
In 2020, Luis pursued further education at Universidad Carlos III de Madrid, where they obtained a Master's degree in Information Health Engineering. Their area of specialization was Data Science.
There is no information provided regarding any educational experiences prior to 1999 or after 2021 for Luis Alcalá Pérez.
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QUANT AI Lab
At QUANT AI Lab, we decided to bring together experts, researchers and recognized consultants around a single international project, with the promise to our clients to deliver value and efficiency. Data, quantitative approaches and AI, that's who we are. It's our DNA! embedded in an industrial end-to-end approach : 100% of our products / solutions created are in production Integrated in a "tool-based consulting" approach, we have operational accelerators on our platform to accelerate the performance of our missions and solve our clients' problems. Our Data / AI offers are based on : - Strategy / management / governance consulting - Support for operationalisation - Creation of robust & industrial solutions integrating the necessary means to meet your needs and challenges - Support and training of teams In addition, we invest heavily in the subjects of tomorrow: - Quantum Mechanics: Vanguard in the application of quantum computing, one of the engines of the next technological revolution and with a direct impact on fields such as artificial intelligence, security, financial analysis, etc - Operations Research: Development of advanced analytical models that combine statistical analysis, mathematical modeling, and optimization techniques to assist in decision-making in complex problems. We are recognised by our clients for the quality and excellence of our missions and our ability to accompany them as a concrete partner over the long term.