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murilobellatini/README.md

Hey there! I'm Murilo πŸ‘‹

Snapshot: Data Scientist and Engineer with 6+ years of hands-on experience in Analytics and Cloud Computing, plus 4+ years in Project Leadership, and a Master's in AI & Robotics from TU Munich πŸŽ“. Skilled at combining technical expertise with business acumen to develop impactful solutions. Interested in continuous learning and ethical GenAI, particularly for language. Dive into more about me on LinkedIn.

πŸ›  Skills

  • Tech Mastery: AI, Machine Learning, Data Engineering, Python, SQL, and more.
  • Leadership: Steering diverse teams towards innovative solutions in the automotive and data sectors.
  • Languages: Fluent in English, German, Portuguese, Spanish, and beginner Italian.

πŸš€ Highlighted Projects

Explore these in my pinned repositories!

Open-Source

  • Dialog2Rasa: My own open-source and deployed Python package (PyPi project here), Useful tool for migrating chatbot platforms from Dialogflow to Rasa. It provides a tool to convert Dialogflow exported agents to Rasa YAML format. More details here: dialog2rasa.

GenAI

  • SegmentStyler: Imagine typing "velvet seat cushion on a modern chair" and you get a full 3D model of the chair where specifically the cushion part is styled according to your description. This tool is perfect for anyone in Architecture or Interior Design who wants to quickly visualize design ideas. Explore the code: SegmentStyler.
  • AI Eye Scan: We've developed an AI model that can create and analyze eye images to identify health issues. This project paves the way for Automated Health Reports and deeper insights into eye conditions. Check out the code: mlmi-oct-diffusion.
  • News Sorter: Ever wanted to sort a pile of newspapers with just a click? That's what this tool is all about. Using traditional machine learning techniques like word vectors, it classifies articles without needing powerful computing resources. Perfect for journalists or news enthusiasts on a budget. More details: newspapers-text-mining.

Data-Driven

  • Local Data Lake Explorer: Experiment with big data like a pro! This project showcases how to build your own data lake, using PySpark and SQL for efficient big data processing. Ideal for businesses looking to scale up their data handling without the cloud's complexity. Dive into the local setup: iFood Data Lake code.
  • Instant Blog Post Creator: Need a captivating Instagram post in seconds? This tool automates the art of social media posts: fetching inspiring quotes and eye-catching images, then blending them into ready-to-publish content, all processed on your local machine. A lifesaver for marketers on the go! Check out how: Smart Poster code.

πŸ“¬ Let's Connect

Pinned Loading

  1. MaximilianWinter/SegmentStyler MaximilianWinter/SegmentStyler Public

    Part-aware language-based mesh texture editing based on Text2Mesh and PartGlot in PyTorch

    Jupyter Notebook 1

  2. mlmi-oct-diffusion mlmi-oct-diffusion Public

    Repository for OCT Project MLMI Practical Course from Summer Semester 2022 at TUM

    Jupyter Notebook 1

  3. ifood-data-architect-test ifood-data-architect-test Public

    My solution to the iFood Data Architect Test using PySpark, Jupyter and Docker in order to create a local prototype data lake.

    Jupyter Notebook 2 1

  4. smart-poster smart-poster Public

    Application for generating social media posts automatically. In a smart way πŸ€“.

    Jupyter Notebook 3 2

  5. newspapers-text-mining newspapers-text-mining Public

    Study case with end-to-end Data Science project for classifying Newspapers' articles. From raw Data Extraction up to deployed Text Classifier inside a containerized API.

    Jupyter Notebook