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muhammed-keita-ml/README.md

Hi, I'm Muhammed Keita 👋

ML Engineer in Training · Building production ML systems in public

🚀 What I'm Building

I build production-ready ML engineering projects using Python — focused on the systems and pipelines that make models work in the real world, not just in notebooks.

📂 Portfolio Projects

# Project Stack Status
01 Automated File Organizer Python · os · shutil · json ✅ Live
02 CSV Data Processing Pipeline Python · Pandas · NumPy · MLflow ✅ Live
03 Modular CLI Productivity Tool Python · CLI · Modular Architecture ✅ Live
04 End-to-End ML Pipeline scikit-learn · Python · MLflow 🔄 Coming soon
05 MLOps Deployment Docker · FastAPI · CI/CD 🔄 Coming soon

🛠️ Tech Stack

Python Pandas NumPy MLflow Git VS Code

📈 Currently

  • 🎓 IBM Data Science Professional Certificate — completed 2026
  • 🔨 Building Project 04 — End-to-end ML pipeline
  • 📝 Writing on Medium about ML Engineering
  • 💼 Open to junior ML Engineer, MLOps, and Data Engineer roles

🔗 Find Me

LinkedIn Hugging Face DagsHub Medium

📊 GitHub Stats

Muhammed's GitHub Stats

© 2026 Muhammed Keita · ML Engineer in Training


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## Step 4 — Commit the README

1. Scroll down to the bottom of the editor
2. In the commit message box type:

Add profile README

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  1. 01-file-organizer-automation 01-file-organizer-automation Public

    This project is a Python-based automation tool that organizes files.

    Python

  2. 02-csv-data-processor 02-csv-data-processor Public

    A Python utility for reading, cleaning, and transforming CSV files.

    Python

  3. 03-cli-productivity-tool 03-cli-productivity-tool Public

    An interactive CLI application that integrates automation utilities.

    Python

  4. ml-mlops-portfolio ml-mlops-portfolio Public