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Achievement: QuickdrawAchievement: Pull Shark

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Achievement: QuickdrawAchievement: Pull Shark

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juanejd/README.md

💫 About Me:

Computer science student with emphasis in software development, data science and AI, with expertise in a variety of technologies and tools to create cutting-edge products. I have skills in data processing and visualization, model optimization and development of solutions based on artificial intelligence. In addition to my expertise in web development, it allows me to create, manage and administer robust projects focused on automation and optimization of AI-driven resources for an excellent user experience. 🎯Objective: I am actively seeking career opportunities in software development to continue learning to develop my technical and professional skills alongside the company and my co-workers.💫

🌐 Socials:

LinkedIn email

💻 Web Tech Stack:

CSS3 Bootstrap TailwindCSS SASS HTML5 JavaScript TypeScript Next JS PHP Laravel Python Django DjangoREST React SQLite MySQL Postgres JWT

💻🤖 Data Science Stack:

PythonAnacondaMatplotlib NumPy Pandas scikit-learn TensorFlow Keras

👩‍💻 Colaborative:

GitHub Git Jira Notion

📊 GitHub Stats:

Popular repositories Loading

  1. Implementacion-Regresion-lineal Implementacion-Regresion-lineal Public

    Implementación de Regresión Lineal Múltiple y Análisis de componentes principales (PCA) en los precios medios de las viviendas en la ciudad de Boston, Estados Unidos.

    Python

  2. juanejd juanejd Public

  3. Exercistes-Python Exercistes-Python Public

    My own solutions to different challenges in Codewars

    Python

  4. coffee_shop coffee_shop Public

    Basic app using Django and Django Rest-Framework

    Python

  5. California-house-prices-Analysis California-house-prices-Analysis Public

    Visualización y preprocesamiento de datos sobre los precios de casas en los diferentes barrios del estado de california.

    Jupyter Notebook

  6. ANN-CNN-Aplications ANN-CNN-Aplications Public

    Se realizó el uso de redes neuronales y redes neuronales convolucionales con TensorFlow para diferentes aplicaciones.

    Jupyter Notebook