👀 Interests: Data & AI/Machine Learning, MLOps, Deep Learning, Software Engineering.

🌱 Languages: Python, SQL, Go.

⚡ Fun fact: I'm a Star Wars fan.

I'm a data scientist and MLOps enthusiast, currently working in data science at a digital marketing company. Passionate about technology and motivated to use data to solve business problems, I am constantly learning and applying new skills in data science and MLOps solutions.

• Programming Languages:

  

• Databases:

  

• Web Development:

  

• Data Manipulation:

  

• Machine Learning:

  

• Deep Learning:

  

• NLP:

  

• GenAI/LLM:

  

• 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 MLOps:

• Credit Approval with Classification Algorithm: Best Practices in Data Science & MLOps: This project aims to develop a predictive system to assist in credit assessment. Using Machine Learning algorithms, with the aim of building a classification model to determine whether or not to approve credit for specific customers. This project can help make faster and more assertive decisions, reducing the risk of default and optimizing credit allocation.
• Life Cycle Management of Machine Learning Models with MLflow: Demonstration of the use of MLflow as a tool in Machine Learning projects, and deployment with kubernetes.
• Latency Improvements in ML Model Inference: This repository is about model serving experiments in different languages. Think of Python as the industry, it manufactures the model, but it doesn't serve it so well in APIs, software and systems. The challenge here is to find the best implementation to serve Machine Learning models, aiming to reduce latency.

Here are some of my featured repositories:

• Credit Approval with Classification Algorithm: Best Practices in Data Science & MLOps
• Life Cycle Management of Machine Learning Models with MLflow
• Latency Improvements in ML Model Inference

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 and MLOps.

Thank you for visiting my GitHub profile!