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Dylalva/README.md

Bienvenido / Welcome

📊 Estadísticas/Statistics GitHub

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Español


Hola, soy Dylan Andrés Elizondo Alvarado 🚀

Estudiante de Ingeniería en Sistemas de Información en la Universidad Nacional de Costa Rica (UNA), apasionado por el desarrollo de software, análisis de datos y machine learning.


Sobre mí

He desarrollado aplicaciones de escritorio y móviles para Android, fortaleciendo lógica y estructuras de datos. Ahora, me enfoco en tecnologías cloud, ciencia de datos y machine learning para crear soluciones innovadoras.


Experiencia destacada

  • Software Developer (Data Science focus): Modelos de aprendizaje por refuerzo, regresión y clasificación con Python y NumPy.
  • Asistente Estudiantil en Estructuras Discretas: Sesiones de estudio y apoyo con Wolfram Mathematica.
  • Scrum Master: Coordinación ágil y automatización de procesos.

Tecnologías

Lenguajes:
Python Java C++ PL/SQL

Bases de datos:
Oracle MySQL SQLite Firebase

Herramientas Data Science:
Anaconda Jupyter Docker Pandas NumPy

Cloud & DevOps:
Azure AWS GitHub Actions Jenkins


En aprendizaje: Ciencia de Datos

Actualmente estoy profundizando en estas tecnologías y herramientas para seguir creciendo en ciencia de datos:

Scikit-learn TensorFlow Matplotlib Seaborn


Contacto

LinkedIn
Email


¡Gracias por pasar por aquí! 🚀

English


Hi, I'm Dylan Andrés Elizondo Alvarado 🚀

Information Systems Engineering student at the National University of Costa Rica (UNA), passionate about software development, data analysis, and machine learning.


About Me

I have developed desktop and Android mobile applications, strengthening my skills in programming logic and data structures. Currently, I’m focusing on cloud technologies, data science, and machine learning to create innovative solutions.


Highlighted Experience

  • Software Developer (Data Science focus): Developed reinforcement learning, regression, and classification models using Python and NumPy.
  • Student Assistant in Discrete Structures: Led study sessions and provided support using Wolfram Mathematica.
  • Scrum Master: Agile coordination and process automation.

Technologies

Programming Languages:
Python Java C++ PL/SQL

Databases:
Oracle MySQL SQLite Firebase

Data Science Tools:
Anaconda Jupyter Docker Pandas NumPy

Cloud & DevOps:
Azure AWS GitHub Actions Jenkins


Currently Learning: Data Science

I’m deepening my knowledge in these tools and technologies to grow further in data science:

Scikit-learn TensorFlow Matplotlib Seaborn


Contact

LinkedIn
Email


Thanks for stopping by! 🚀

Pinned Loading

  1. Data-Analysis-ML-Portfolio Data-Analysis-ML-Portfolio Public

    This repository showcases a portfolio of data analysis and machine learning projects. It contains Jupyter Notebooks, scripts, and datasets demonstrating various techniques in data preprocessing, vi…

    HTML 1

  2. Project-CI-CD-Pipeline Project-CI-CD-Pipeline Public

    Automates building, testing, and deploying applications using a CI/CD pipeline for streamlined development and delivery.

    Python 1

  3. TeenSmartInsight TeenSmartInsight Public template

    A comprehensive tool to analyze adolescent technology usage and predict addiction levels. Built with data science and a Random Forest regression model, wrapped in a user-friendly Flask web interfac…

    Jupyter Notebook

  4. PacMan PacMan Public

    Juego de PacMan hecho con Python, utilizando algoritmos de búsqueda como A*. Algoritmos de ML como Q-Learning.

    Jupyter Notebook

  5. ClassicGame ClassicGame Public

    A classic Donkey Kong-style platformer game developed in Python with Pygame, featuring AI-powered enemies using Q-Learning algorithms and cloud data persistence with Firebase.

    Python

  6. Tutorias_ED Tutorias_ED Public

    Repositorio con las clases de las tutorias de Estructras discretas, este repositorio cuenta con ejercicios y material didactico para reforzar el curso.

    Mathematica