👀 Interests: Data Science, AI, Machine Learning, Deep Learning
🌱 Languages: Python, SQL
⚡ Fun fact: I'm a Star Wars fan.

I'm a Data Scientist with a background in financial markets, actually working on Digital Marketing. With a passion for technology and a drive to leverage data to solve complex problems, I am constantly learning and applying new skills in data analysis, data science, AI solutions and automation.

• Programming Languages:

  

• Databases:

  

• Web Development:

  

• Data Manipulation:

  

• Machine Learning:

  

• AI:

  

• Data Visualization:

  

• Automation and Web Scraping:

  

• Big Data:

  

• MLOps:

  

  

• OS:

  

• Analytical Thinking
• Problem Solving
• Effective Communication
• Curiosity and Continuous Learning
• Team Collaboration
• Critical Thinking
• Attention to Detail
• Time Management
• Creativity

I have worked on several projects that demonstrate my skills in data science and AI:

• Life Cycle Management of Machine Learning Models with MLflow: demonstration of the use of MLflow as a tool in Machine Learning projects
• Good Practices of MLOPs on Google Cloud Platform: Project that demonstrates some good Machine Learning Operations practices in a cloud architecture, using Google Cloud Platform.
• Predicting Machine Defects: The main aim of this project is to predict machine faults in order to reduce downtime, improve operational efficiency and cut maintenance and production costs. To do this, I have developed a machine learning model that predicts in which situations machines are likely to malfunction.
• Lung Cancer Predict: This project is about developing a Machine Learning model that uses a classifier algorithm to predict lung cancer. I used MLflow to manage the model's lifecycle, and I also used the concept of continuous delivery, where we'll use CD4ML and MLOps practices to be able to modify parameters and other technical specifications without having to change the code and put a model into production.

Here are some of my featured repositories:

• Life Cycle Management of Machine Learning Models with MLflow
• Good Practices of MLOPs on Google Cloud Platform
• Predicting Machine Defects
• Lung Cancer Predict

Feel free to reach out to me through LinkedIn or via email at [email protected]. I'm always open to discussing new projects, collaborations, or opportunities in data science, MLOps and AI.

Thank you for visiting my GitHub profile!