Hi, I’m Daniel
Welcome to my website! I am Daniel Precioso, a highly experienced and passionate Ph.D. data scientist. My current research revolves around utilizing data science to achieve sustainable development goals and promote ecological transitions. With a degree in Physics, I bring a unique perspective to my work that enables me to develop innovative solutions to complex problems.
Throughout my over X years of career on industry, I have gained extensive experience in analyzing and interpreting data, implementing machine learning algorithms, and creating models that help organizations optimize their operations and make informed decisions.
As a data scientist, I am passionate about using my skills and expertise to make a positive impact on society. I believe that data science has the potential to transform the world for the better, and I am dedicated to exploring new ways to leverage this technology for the greater good.
Thank you for taking the time to read my profile smile I encourage you to take a look at my papers and posts to know about the projects I am enrolled in!
Latest News
Experience
Chief Operations Officer (COO), Canonical Green [Apr 2023 - Present]
Madrid, SpainAt Canonical Green, we offer data science-based solutions for the ecological transition of the Industry 4.0. My role in this company consists of:
- Leading the implementation of innovative AI solutions that enhance the operational efficiency of our clients.
- Designing, developing, and implementing machine learning models and mathematical optimization to improve the competitiveness of our processes.
- Conducting commercial and technical presentations to generate interest in our products as well as to secure funding.
Postdoctoral Researcher & Adjunct Professor, IE University [Sep 2023 - Present]
Madrid and Segovia, SpainProfessor of "Computer Programming I" with Python (1st-year course) in the Bachelor's Degree in Applied Mathematics.
- Specialize in teaching students from the ground up.
- Create custom exercises tailored for mathematical applications.
Data Scientist, Komorebi AI [Sep 2022 - Apr 2023]
Madrid, Spain- Data cleaning, manipulation and visualization.
- Design, train and deployment of machine learning and deep learning models with scikit-learn, including GB and CNN.
- Development of a dashboard to guide industrial decision making with Streamlit.
Predoctoral Research Staff, University of Cádiz [Sep 2019 - Aug 2022]
Cádiz, Spain- Collaboration with various industrial partners to conduct cutting-edge research in healthcare, energy and blue economy.
- Presentation of research findings to both technical and non-technical audiences.
- Publication of research papers in peer-reviewed journals.
Junior Data Scientist, Foqum [Jan 2019 - Jun 2019]
Madrid, SpainEducation
PhD in Data Science, “Applications of Machine Learning and Data Science to the Blue Economy: Sustainable Fishing and Weather Routing” done under the supervision of David Gómez-Ullate. University of Cádiz, Spain.
MSc in Data Science. Universidad Politécnica de Madrid, Spain.
Bachelor’s Degree in Physics. University Complutense of Madrid, Spain.
Related websites
Canonical Green is the start-up I’m part of, along with my co-founders David Gómez-Ullate and Javier Jiménez.
Green Navigation is the eco-friendly Google Maps of the sea! We are developing this tool in Canonical Green to help with the decarbonization of the shipping industry.