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Creating value
🖱️
Creating value

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daniprec/README.md

hey there


👨‍💻 About Me :

Hello! 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 5 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 😄 I encourage you to visit my personal website to know about the projects I am enrolled in!


🛠️ Languages and Tools :

Python  Matlab  Latex 

🔥 My Stats :

GitHub Streak

Top Langs


🏆 Awards :

    🇪🇺   The Arch 2022, my solution Green Navigation was chosen as the 2nd best to impulse the ecological transition of the European Union. This gave us the chance to pitch at the European Parliament!

    👁️   OpenCV AI Competition 2021, 2nd place as member of the team Caleta.

    🌊   Ocean Hackathon 2021, 2nd place as member of the project Smart Shipping.


✍️ Publications :

    🚢   Hybrid Search method for Zermelo's navigation problem. Computational and Applied Mathematics, 2024 (Q2).

    📖   Applications of Machine Learning and Data Science to the Blue Economy: Sustainable Fishing and Weather Routing. PhD thesis at Universidad de Cádiz, 2023 (Cum Laude).

    🐟   Aggregation dynamics of tropical tunas around drifting floating objects based on large-scale echo-sounder data. Marine Ecology Progress Series, 2023 (Q1)

    😷   Effectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020-May 2021). Frontiers in Public Health, 2023 (Q1).

    🔌   Thresholding Methods in Non-Intrusive Load Monitoring. The Journal of Supercomputing, 2023 (Q2).

    🍼   NeoCam: An edge-cloud platform for non-invasive real-time monitoring in neonatal intensive care units. IEEE Journal of Biomedical and Health Informatics, 2023 (Q1).

    🐟   TUN-AI: Tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data. Fisheries Research, 2022 (Q2).

Pinned Loading

  1. hybrid_ivp hybrid_ivp Public

    Forked from Louisbu/hybrid_ivp

    Weather routing via variational methods

    Python 3 1

  2. UCA-Datalab/covid-npi UCA-Datalab/covid-npi Public

    Non-pharmaceutical interventions during COVID

    Python

  3. UCA-Datalab/nilm-thresholding UCA-Datalab/nilm-thresholding Public

    ⚠️ This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data…

    Python 37 6

  4. certificate-generator certificate-generator Public

    This is an automatic generator for certificates of assistance

    Python