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👋 Welcome to my GitHub profile!

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🚀 About Me

Hello, I'm Marcos, a Python developer passionate about turning ideas into reality through code. With over 6 years of experience in computer science, I dedicate myself to software development, always seeking to overcome challenges and create solutions that make a difference.

  • 🔭 Currently, I'm focused on freelance projects, working intensively to create unique and innovative solutions.
  • 🌱 Always eager to learn more, I'm exploring new aspects of Python and staying updated with the latest technologies.

🏆 Achievements

🛠️ Skills

  • Programming Languages: Python, JavaScript, SQL.
  • Frameworks and Libraries: Django, Flask, FastAPI, Sklearn, TensorFlow, NumPy, Pandas.
  • Databases: MySQL, PostgreSQL, MongoDB.
  • Tools and Technologies: Git, Docker, VSCode, Jupyter Notebooks.
  • Web Development: Vue.js and React.
  • Web Scraping: Efficient data extraction using techniques like Selenium, BS4, Scrapy.
  • Security: Implementation of security practices in Python, vulnerability analysis.
  • Cloud Computing: Knowledge of cloud services and architectures.
  • Machine Learning: Development and implementation of models, data analysis.

🌟 Featured Projects

1. API Development

  • Description: Created a custom API for an e-commerce platform.
  • Achievements:
    • Efficient implementation using FastAPI, optimizing performance and scalability.
    • Integration with payment and delivery services to facilitate transactions and logistics.

2. Process Automation with Web Scraping

  • Description: Automated the collection of product price data from an e-commerce website, providing valuable insights for pricing strategies.
  • Achievements:
    • Development of web scraping scripts using BeautifulSoup and Scrapy.
    • Efficient storage of extracted data in a database and export to a spreadsheet.

3. Python Security Consulting

  • Description: Conducted a security analysis on a user management system, identifying and fixing vulnerabilities to ensure data integrity.
  • Achievements:
    • Source code assessment with identification and correction of security flaws.
    • Successful implementation of corrective and preventive measures.

4. Prediction Model and Facial Recognition Development

  • Description: Developed a prediction model for facial recognition, using machine learning techniques to identify and authenticate users based on facial images.
  • Achievements:
    • Successful training of a facial recognition model using AI.
    • Implementation of an API for interaction with the model and facial authentication.

If you need help in any of these areas or have a challenging project, I'm available. Feel free to reach out!

Thank you for visiting my profile! 😊

📱 Contact

Marcos Paulo Diniz's Projects

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kanbanflow2wekan icon kanbanflow2wekan

This is a library to perform kanban migration from Kanbanflow to Wekan in an automated way.

rodeo icon rodeo

A data science IDE for Python

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