Juan David Barragan Mendez

Juan David Barragan Mendez

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Data scientist
France
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Résumé

Jobs verified_user 0% verified
  • Shift Technology
    Data Science Intern
    Shift Technology
    Mar 2024 - Sep 2024 (7 months)
    Improved fraud detection ML models in Python by hyperparameter optimization and dealing with unbalance in the dataset, reducing false positives by30%. Refactored and maintained ETL pipelines and unit tests in C# and Python. Delivered frontend-integrated ML dashboards. Improved existing debugging tools by giving explainability ML logs.
  • I
    Data Analyst Intern
    ISII-TECH
    Jun 2023 - Sep 2023 (4 months)
    Dashboard development using Grafana, Python, and SQL 5+ real-time monitoring dashboards using Grafana, Python, and SQL, enabling the technical team to track data quality KPIs and reduce debugging time by15%. Migrated dashboards from PowerBI, enabling 15% faster issue diagnosis and addition of restrict dashboards access for the client. Collection, organization, interpretation, and visualization of data from various sources
  • H
    Research Data Scientist & Developer – PIC
    Henri Becquerel Center
    Feb 2023 - Jan 2024 (1 year)
    SimpleDose coauthor. Developed a U-Net model for nuclear imaging dosimetry with Python achieving accurate segmentation in real-world datasets. Integrated predictions into a WordPress web app using PHP and JavaScript.
  • D
    Software Engineer –
    Digital Media Office, National University of Colombia
    Apr 2020 - Jul 2021 (1 year 4 months)
    Analysis, design, development, and implementation of applications developed by the digital media office (PHP, JavaScript, ElasticSearch). One page navigation develop using ajax requests, Link to website
Education verified_user 0% verified
  • I
    M2 Computer Science
    INSA Rouen Normandie.
    Jan 2021 - Jan 2024 (3 years 1 month)
  • Universidad Nacional de Colombia
    Degree in Computer Engineering
    Universidad Nacional de Colombia
    Jan 2016 - Jan 2021 (5 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • A
    Abnormal Heart Rhythm Monitoring
    Aug 2019 - Jan 2020 (6 months)
    Platform using DNN. Marconi Society: Celestini Program Projects
  • B
    Brain Tumor DNN Detection
    Sep 2022 - Dec 2022 (4 months)
    images using CNN. Developed and trained a (CNN) with TensorFlow/Keras to classify brain tumors from MRI image data, achieving 94% accuracy on the validation set by detecting circles in the dataset before detection. Link to slides