I am a passionate student of artificial intelligence and machine learning, constantly seeking to expand my skills and contribute to the exciting world of technology. Welcome to my GitHub repository, where I share some of my recent projects and explorations in the field of Machine Learning and Deep Learning!
- TICKET MANAGEMENT SYSTEM
A Python-based tool designed to track and manage incidents in production lines. It offers features like incident logging, advanced filtering, MTBF (Mean Time Between Failures) calculations, and interactive data visualizations. The system integrates with Excel for data management and includes user authentication for different access levels. Built with a PyQt5 GUI, it ensures data persistence across sessions, enabling efficient monitoring and troubleshooting in production environments.
- PET FRIENDS - DISTRIBUTION
The executive report enclosed herein offers an in-depth analysis of sales data from a veterinary product distribution company. It provides strategic recommendations and actionable insights aimed at enhancing profitability and operational efficiency.
- MACHINE-LEARNING
This repository hosts a diverse collection of datasets, scraping methods, and practical cases, all centered around the fascinating world of data scraping. With the aim of providing useful resources and applied examples, the repository is designed for students and professionals in data science and software engineering interested in web data acquisition.
- AMACOR_SUPERMARKET
Focusing on data analysis of a South American supermarket, this repository presents insightful visualizations and valuable insights for informed decision-making in the retail sector. Tailored to the South American market, it offers actionable information for entrepreneurs, data analysts, and retail industry experts.
I am excited to continue exploring the possibilities offered by artificial intelligence and machine learning. My future goals include:
Contributing to open-source projects related to machine learning.
Deepening my knowledge in specific areas.
Collaborating with other technology enthusiasts to address significant challenges.
Deep Learning: Exploring neural networks and advanced architectures.
Natural Language Processing (NLP): Working on projects related to human language processing.
Scraping: Exploring the vast possibilities of this technique.
Programming Languages: Python, TensorFlow, PyTorch, Scikit-Learn.
Development Tools: Jupyter Notebooks, Git, Docker, Chat-GPT (Professional Mode).
Relational Databases (RDBMS).
IMPELIA Professional Campus - Current Program.
Relevant courses and certifications.
I am always open to collaboration and feedback! Connect with me through:
LinkedIn: www.linkedin.com/in/guillem-edo-bertran
Email: [email protected]
Thank you for visiting my GitHub profile. I hope you find my projects interesting! Feel free to explore the repositories and leave your comments. Let's grow the machine learning community together! 🤖✨