David López Martín Email & Phone Number

As an AI Intern at Bravent, I contributed to advanced computer vision projects and leveraged the Azure ecosystem, particularly Azure Cognitive Services. During this internship, I applied deep learning techniques using Python libraries like PyTorch to develop and refine computer vision models. My role involved collaborating with senior data scientists and engineers to deliver innovative AI solutions.- Developed and fine-tuned computer vision models using PyTorch, resulting in improved accuracy and performance.- Successfully integrated Azure Cognitive Services into AI projects, enhancing functionality and scalability.- Collaborated with a team to deliver AI solutions that met client requirements and expectations.

Madrid, Comunidad De Madrid, España

As a Data Science Intern at Repsol, I had the opportunity to immerse myself in a dynamic and international environment at the InWell space. My focus was on leveraging machine learning techniques to predict the excavation speed of oil wells. Collaborating within a multidisciplinary team, I applied advanced analytics to complex datasets, contributing valuable insights for optimizing drilling operations.Achievements:- Developed and implemented machine learning models to predict excavation speed of oil wells- Presented findings and recommendations to senior management, leading to the adoption of machine learning techniques in other areas of the company's operations- Successfully adapted to new challenges and technologies, demonstrating flexibility and a proactive approach in addressing project requirements

Co-led a project to detect upper limb functional deficits in stroke patients using non-invasive optical motion capture and machine learning. Developed an AI diagnostic tool now in clinical use. Responsibilities included project management, data analysis with Python, and AI model development. Collaborated with neurologists, therapists, and engineers, published findings, and presented at conferences.Publications- David L. et al. NeuroData Tracker: Software for computational assessment of hand motor skills based on optical motion capture in a virtual environment. DIGITAL HEALTH- Safe Creative. 2210102294056. NeuroData Tracker España. 10/10/2022. FUNDACION PARA LA INVESTIGACION BIOMEDICA DEL HOSPITAL UNIV. LA PAZ.- David L. et al. COMPUTATIONAL ASSESSMENT OF HAND MOTOR SKILLS IN STROKE PATIENTS. ESOC. 2022. Francia.- David L.; María Alonso de Leciñana. Med-i-Rec. Digital solution for functional evaluation and recovery of motor deficits. Matchmaking Tecnología Sanitaria – Salud Digital: impulso a la cadena de valor en salud. Fenin, ITEMAS. 2022. España.

Madrid, Comunidad De Madrid, España

During my internship in the Neurology department at Hospital Universitario La Paz, I supported research on detecting upper limb deficits in stroke patients using non-invasive optical motion capture systems and machine learning techniques. This experience allowed me to develop skills in data analysis with Python, and gain hands-on experience in biomedical research.

During my tenure as a Software, Product & Usability QA Tester at uTest, I engaged in comprehensive testing activities to ensure the quality and usability of various software products. As an independent professional, I meticulously evaluated software functionalities, user interfaces, and overall product performance. My role demanded a keen eye for detail and a deep understanding of user experience principles to provide actionable feedback for product improvement.Achievements:- Consistently delivered high-quality testing results within tight deadlines.- Recognized for providing valuable feedback that directly contributed to product improvements.- Successfully collaborated with diverse teams and stakeholders to achieve project goals.

Madrid, Comunidad De Madrid, España

Master, Data Science And Big Data

Master'S Degree, Biomedical/Medical Engineering

Bachelor Of Architecture - Barch

Bachelor Of Architecture - Barch, Architecture

Leadership And Skills Diploma, International Business, A+