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Jesus-David-Silva-Rangel-19/README.md

¡Hola! 👋

👨‍💻 Sobre mí

🇨🇴 De Colombia

  • 🗄️ Actualmente trabajando como Administrador de Bases de Datos
  • 📊 Analista de Datos
  • 🗂️ Asistente Administrativo
  • 🎓 Estudiante de Ingeniería de Sistemas
  • 🚀 Aspirante a Científico de Datos e Ingeniero de Machine Learning

💼 En lo que estoy trabajando

  • Creación de reportes y dashboards en Excel y Power BI
  • Análisis de datos estadísticos (demografía y población)
  • Administración y optimización de bases de datos relacionales
  • Análisis de datos para la toma de decisiones
  • Automatización de procesos administrativos

🌱 Actualmente aprendiendo

  • 🐍 Python para Ciencia de Datos
  • 🤖 Machine Learning & Deep Learning
  • 🗄️ Ingeniería de Datos (ETL, pipelines y gestión de datos a gran escala)
  • ☁️ Cloud Computing: (Microsoft Azure / Google Cloud Platform (GCP) / Amazon Web Services (AWS))
  • 📈 Estadística y Probabilidad para Ciencia de Datos
  • 🌍 Inglés (meta: nivel C2)

🛠️ Tecnologías y herramientas

  • Programación: Python, SQL
  • Librerías: Pandas, Numpy, Matplotlib, Seaborn, Scipy, Scikit-Learn
  • Data Tools: Power BI, Tableau, Excel, Sheets
  • Bases de Datos: MySQL, SQL Workbench, PostgreSQL, MongoDB
  • Big Data: Apache Spark, PySpark, Apache Hadoop
  • Sistemas Operativos: Linux (CLI Terminal), Windows (CLI Terminal)
  • Control de Versiones: Git, GitHub
  • Herramientas: Jupyter Notebooks, Visual Studio Code, Office 365

📫 Contáctame

✨ “Transformando datos en conocimiento y el conocimiento en decisiones.”

Pinned Loading

  1. Alzheimer_Classification_Xception_99.5 Alzheimer_Classification_Xception_99.5 Public

    This repository contains an Alzheimer's classification model based on the Xception architecture. We have achieved 99.5% accuracy in the early detection of this disease. The main objective is to pro…

    Jupyter Notebook

  2. Asthma-Prediction-Factors-Risk Asthma-Prediction-Factors-Risk Public

    Machine Learning project designed to identify risk factors in patients with asthma, using clinical and environmental data. We implement models such as Random Forest and multiple tuning and validati…

    Jupyter Notebook

  3. Bios Bios Public

    Bios is a personal biography reimagined from a futuristic perspective. It explores the fusion between human identity and emerging technologies. The project uses digitalization and artificial intell…

    HTML

  4. Brain-Tumor-Classification-Xception-100-Accuracy Brain-Tumor-Classification-Xception-100-Accuracy Public

    Classification of 3 types of tumors and normal patients using Xception. This analysis allows me to train my skills to develop classification models.

    Jupyter Notebook

  5. Pneumonia_Detection_EfficientNetB3_98_Validation_Accuracy Pneumonia_Detection_EfficientNetB3_98_Validation_Accuracy Public

    Deep Learning model designed to detect pneumonia from chest X-rays. It uses the EfficientNetB3 architecture, achieving 98% accuracy in validation.

    Jupyter Notebook 1

  6. Tumor-Cancer-Type-Prediction Tumor-Cancer-Type-Prediction Public

    Machine Learning project designed to predict types of cancer based on clinical and biomedical data. It includes tools for data exploration, feature selection, and visualization of results.

    Jupyter Notebook