David Luna Naranjo

Data Scientist Researcher at Universidad de Antioquia
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Contact Information
us****@****om
(386) 825-5501
Location
Medellín, Antioquia, Colombia, CO

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Credentials

  • Create Machine Learning Models in Microsoft Azure
    Coursera
    Sep, 2023
    - Oct, 2024
  • Deploying Machine Learning Models in Production
    Coursera
    Sep, 2023
    - Oct, 2024
  • Microsoft Azure Machine Learning for Data Scientists
    Coursera
    Sep, 2023
    - Oct, 2024
  • Curso Básico de Manipulación y Transformación de Datos con Pandas y NumPy
    Platzi
    Jul, 2022
    - Oct, 2024
  • Curso Básico de Visualización de Datos con Matplotlib y Seaborn
    Platzi
    Jul, 2022
    - Oct, 2024
  • Curso de Deep Learning con Pytorch
    Platzi
    Jul, 2022
    - Oct, 2024
  • Curso de PostgreSQL Aplicado a Ciencia de Datos
    Platzi
    Mar, 2022
    - Oct, 2024
  • Curso de Configuración Profesional de Entorno de Trabajo para Ciencia de Datos
    Platzi
    Jan, 2022
    - Oct, 2024
  • Curso de Introducción al Deep Learning 2018
    Platzi
    Jan, 2020
    - Oct, 2024

Experience

  • Universidad de Antioquia
    • Colombia
    • Higher Education
    • 700 & Above Employee
    • Data Scientist Researcher
      • Feb 2021 - Present

      I contributed to an innovative acoustic monitoring project, utilizing machine learning and signal processing techniques to extract valuable insights from audio data. Responsibilities: • Developed and applied denoising algorithms using Python to enhance the quality of audio signals. • Developed neural network models for audio source separation. • Engineered custom feature extraction algorithms optimized for audio signal analysis. • Built pipelines and fine-tuned statistical models for in-depth audio data analysis. • Wrote technical documents to convey results and insights. Tools: Python3 • PyTorch • Git • Docker • scikit-learn • SQL • Azure ML Show less

  • Universidad Nacional de Colombia
    • Colombia
    • Higher Education
    • 700 & Above Employee
    • Data Scientist
      • Nov 2020 - Feb 2021

      I contributed to a data-driven initiative to reduce COVID-19 transmission in Manizales by monitoring high-risk locations and providing valuable information to the public. Responsibilities: • Orchestrated a recurrent multi-source ETL pipeline. • Performed feature extraction for contagion prediction. • Engineered contagion prediction models with a focus on accuracy and scalability. • Designed tracking algorithms for automatic alerting. Tools: Python3 • PyTorch • Git • Docker • PostgreSQL • Azure ML Show less

  • Universidad Nacional de Colombia
    • Colombia
    • Higher Education
    • 700 & Above Employee
    • Machine Learning Researcher
      • Jun 2017 - Mar 2020

      I specialized in machine learning solutions, with a primary focus on time series and image-based applications in neuroscience and biomechanics. Responsibilities:• Conducted research in signal processing, machine learning, and deep learning, addressing complex challenges across diverse domains.• Developed advanced feature extraction algorithms for EEG and biomechanical signals.• Performed feature engineering, including feature selection and relevance assessment, to enhance classification accuracy for time series data.• Implemented data visualization modules for comprehensive exploratory data analysis (EDA).Tools:Python3 • Tensorflow • Git • scikit-learn • PostgreSQL Show less

    • Data Scientist
      • Sep 2017 - Jan 2018

      I was in charge of analyzing and designing models to extract valuable insights from user interactions on Facebook using advanced techniques and data-driven approaches.Responsibilities:Development of machine learning models dedicated to detecting interaction patterns of users on Facebook.Engineered a ETL module, optimizing data retrieval and storage from Facebook APIs for seamless data flow.Deploying machine learning models for consumption through endpoints.Applied dimensionality reduction techniques to enhance data analysis efficiency.Tools:Python3 • Django • Github • scikit-learn • SQL Show less

    • Machine Learning Researcher
      • Mar 2017 - Aug 2017

      Led the development of an augmented reality system for the projection of brain connections produced by affective stimuli from EEG signals.Responsibilities:• Developed an augmented reality module to enhance neuroscience research capabilities.• Implemented algorithms for precise pose estimation and object tracking.• Designed and engineered modules for video-based object segmentation and tracking.• Created graphical user interfaces for desktop software applications.Tools:Python3 • OpenCV • scikit-learn • PyQt Show less

Education

  • Universidad de Antioquía
    Ph.D., Electronic and computer engineering.
    2021 - 2024
  • Universidad Nacional de Colombia
    Master of Engineering (MEng), Machine Learning Engineering
    2017 - 2019
  • Universidad Nacional de Colombia
    Bachelor's degree, Electronics engineering
    2013 - 2017

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