PhD and Engineer in Physical-Chemistry of Materials and Environment and Data Scientist with over 3 years in at Universidad de Santiago de Compostela (USC) and Université Abdelmalek Essaâdi (UAE), demonstrating a proven track record in leading full-cycle projects. Adept at problem framing and approach definition with a keen focus on bringing tangible value to businesses. Skilled in the entire machine learning lifecycle steps with a seamless integration ML models into diverse applications (Medicinal Chemistry, Pharmaceutical, Heavy Metals, Environmental Chemistry, Renewable Energy, Materials Science. Established proficiency in AI solutions monitoring, maintenance, documentation, and concise communication of results. My primary research areas are data science, computer science, deep learning, machine learning, AI, NLP, ANN, DNN, PLS, Statistics, Data Analysis, AI, Antibiotics, Medicinal Chemistry, Pharmaceutical, Dyes, Heavy Metals, Environmental Chemistry, Renewable Energy, Analytical Techniques, Analytical Chemistry, Nanomaterial Synthesis, Materials Science, Adsorption/Desorption and organization. I have earned multiple certifications from IBM, DeepLearning.AI and Google in these fields, demonstrating my proficiency and passion for data-driven innovation. As a PhD at Universidad de Santiago de Compostela (USC) and Université Abdelmalek Essaâdi (UAE), I apply my skills and knowledge in Chemistry and deep learning to develop innovative solutions for various domains, such as agriculture, environment, and Energy.