An Electronic Engineer focused on Data Science who designs machine learning models to solve multiple problems in different branches of knowledge.
I'm a Electronic Engineer from the Universidad Autónoma de Manizales. I am a research lover with data science, machine learning, deep learning, and automation skills to solve multiple problems. Check out some of my work in the main Projects section.
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I'm open to Job opportunities where I can contribute, learn and grow. If you have a good opportunity that matches my skills and experience then don't hesitate to contact me.
Advanced knowledge
Intermediate knowledge
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Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data
Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia
Analysis of Ethical Development for Public Policies in the Acquisition of AI-Based Systems
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review
Deep Learning Applied to COVID-19 Detection in X-Ray Images
Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning
Machine learning applications to predict two-phase flow patterns
Optimized Convolutional Neural Network Models for Skin Lesion Classification
Sensitivity of deep learning applied to spatial image steganalysis
COVID-19 detection in x-ray images using convolutional neural networks
Multi-subject Identification of Hand Movements Using Machine Learning
Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain
GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis
Clasificación de cáncer cervical usando redes neuronales convolucionales, transferencia de aprendizaje y aumento de datos
12 - Digital media steganalysis
